This document discusses image file formats and their preservation. It describes different types of image files like bitmap, vector, grayscale, and binary images. Common file formats include TIFF, JPEG, PNG, SVG, and others. The document also discusses expressing image bitstreams in XML and using a bitstream syntax description language to provide a generic solution for preserving different image formats at the bitstream level. Overall, the document examines challenges and methods for preserving digital image files and ensuring long-term access to image content.
Background Information & Suggestions for Joint Research Topics IVY Lab & MMLabWesley De Neve
This document provides background information on the author and proposes two potential joint research topics between the IVY Lab and MMLab. The author is from Belgium and received a Master's and PhD from Ghent University, where he researched video content adaptation and quality assessment. His remaining activities at MMLab involve XML-driven video adaptation and GPU-based video processing. The two proposed topics are 1) comparing image formats for adaptivity using MPEG-21 and 2) using GPUs via CUDA for computationally expensive tasks in scalable video coding like motion estimation. The goal is to continue existing research experience and allow for cooperation between the two labs.
The document provides an overview of computer hardware components including input/output ports, storage devices, and data storage. It discusses the major components of a computer system including ports like VGA, DVI, HDMI, USB, audio jacks, and SATA that connect peripherals to the computer. Storage devices include primary memory (RAM) and secondary devices like hard disk drives, solid state drives, and optical drives. Data is stored and processed in binary format as sequences of 0s and 1s, with bits grouped into words of various sizes for storage and manipulation.
12. Real life digital curation and preservation - Peter Clarke, University Co...CONUL Conference
This document compares the curation process of two different collections held by the UCD Digital Library - the Collected Letters of Nano Nagle, an analogue cultural heritage collection, and the Minor Harbours of the East Coast of Ireland, a born-digital research collection. It outlines the differences in format, cataloguing, access methods, and preservation workflows between the two collections. Key details include that the letters collection involved scanning analogue letters while the harbours collection was fully digital, and they employ different file formats, viewing tools, and storage and preservation practices suited to their respective content and origins.
Image compression involves reducing the size of image files to reduce storage space and transmission time. There are three main types of redundancy in images: coding redundancy, spatial redundancy between neighboring pixels, and irrelevant information. Common compression methods remove these redundancies, such as Huffman coding, arithmetic coding, LZW coding, and run length coding. Popular image file formats include GIF, JPEG, PNG, DICOM, SVG, and TIFF, which use different compression techniques and metadata standards depending on the image type and use.
Image compression involves reducing the size of image files to reduce storage space and transmission time. There are three main types of redundancy in images: coding redundancy, spatial redundancy between neighboring pixels, and irrelevant information. Common compression methods remove these redundancies, such as Huffman coding, arithmetic coding, LZW coding, and run length coding. Popular image file formats include JPEG for photos, PNG for web images, and TIFF, GIF, and DICOM for other uses.
Biomedical Engineering (Medical Equipment's) - Mathankumar.S - VMKVC, SALEM,...Mathankumar S
1. X-rays are a form of electromagnetic radiation used in medical imaging to visualize bone structure and detect foreign objects.
2. During an X-ray exam, X-rays pass through the body, with different tissues absorbing varying amounts depending on their atomic makeup. Bones appear white on the resulting radiograph because they absorb most of the X-rays.
3. While X-rays provide valuable information, they also carry risks due to the ionizing radiation. Digital systems are replacing film-based ones to avoid unnecessary exposure.
The document discusses MPEG's work on 3D graphics standards. It provides an overview of MPEG's past and current 3D graphics standards including MPEG-4 Part 16 and Part 25. It outlines the various 3D graphics tools that have been standardized, such as 3D mesh compression and animation tools. It also discusses MPEG's work integrating real and virtual worlds through standards like MPEG-V for sensors and actuators and MPEG's work on 3D video and augmented reality. Finally, it provides an example of a reconfigurable graphics coding network using functional units from the MPEG 3D graphics toolbox.
Background Information & Suggestions for Joint Research Topics IVY Lab & MMLabWesley De Neve
This document provides background information on the author and proposes two potential joint research topics between the IVY Lab and MMLab. The author is from Belgium and received a Master's and PhD from Ghent University, where he researched video content adaptation and quality assessment. His remaining activities at MMLab involve XML-driven video adaptation and GPU-based video processing. The two proposed topics are 1) comparing image formats for adaptivity using MPEG-21 and 2) using GPUs via CUDA for computationally expensive tasks in scalable video coding like motion estimation. The goal is to continue existing research experience and allow for cooperation between the two labs.
The document provides an overview of computer hardware components including input/output ports, storage devices, and data storage. It discusses the major components of a computer system including ports like VGA, DVI, HDMI, USB, audio jacks, and SATA that connect peripherals to the computer. Storage devices include primary memory (RAM) and secondary devices like hard disk drives, solid state drives, and optical drives. Data is stored and processed in binary format as sequences of 0s and 1s, with bits grouped into words of various sizes for storage and manipulation.
12. Real life digital curation and preservation - Peter Clarke, University Co...CONUL Conference
This document compares the curation process of two different collections held by the UCD Digital Library - the Collected Letters of Nano Nagle, an analogue cultural heritage collection, and the Minor Harbours of the East Coast of Ireland, a born-digital research collection. It outlines the differences in format, cataloguing, access methods, and preservation workflows between the two collections. Key details include that the letters collection involved scanning analogue letters while the harbours collection was fully digital, and they employ different file formats, viewing tools, and storage and preservation practices suited to their respective content and origins.
Image compression involves reducing the size of image files to reduce storage space and transmission time. There are three main types of redundancy in images: coding redundancy, spatial redundancy between neighboring pixels, and irrelevant information. Common compression methods remove these redundancies, such as Huffman coding, arithmetic coding, LZW coding, and run length coding. Popular image file formats include GIF, JPEG, PNG, DICOM, SVG, and TIFF, which use different compression techniques and metadata standards depending on the image type and use.
Image compression involves reducing the size of image files to reduce storage space and transmission time. There are three main types of redundancy in images: coding redundancy, spatial redundancy between neighboring pixels, and irrelevant information. Common compression methods remove these redundancies, such as Huffman coding, arithmetic coding, LZW coding, and run length coding. Popular image file formats include JPEG for photos, PNG for web images, and TIFF, GIF, and DICOM for other uses.
Biomedical Engineering (Medical Equipment's) - Mathankumar.S - VMKVC, SALEM,...Mathankumar S
1. X-rays are a form of electromagnetic radiation used in medical imaging to visualize bone structure and detect foreign objects.
2. During an X-ray exam, X-rays pass through the body, with different tissues absorbing varying amounts depending on their atomic makeup. Bones appear white on the resulting radiograph because they absorb most of the X-rays.
3. While X-rays provide valuable information, they also carry risks due to the ionizing radiation. Digital systems are replacing film-based ones to avoid unnecessary exposure.
The document discusses MPEG's work on 3D graphics standards. It provides an overview of MPEG's past and current 3D graphics standards including MPEG-4 Part 16 and Part 25. It outlines the various 3D graphics tools that have been standardized, such as 3D mesh compression and animation tools. It also discusses MPEG's work integrating real and virtual worlds through standards like MPEG-V for sensors and actuators and MPEG's work on 3D video and augmented reality. Finally, it provides an example of a reconfigurable graphics coding network using functional units from the MPEG 3D graphics toolbox.
Standards and procedure in digitization and digital preservationCandy Husmillo
There are some standards for aspects of digitization and digital archiving, such as ISO standards for digitizing records and using PDF format for long-term preservation. However, standards are limited and there are no formal standards governing digital image capture, processing, and storage. Best practices have been developed instead. Common terms and concepts in digitization include masters and derivatives, resolution, file formats, compression, and optical character recognition. Considerations for successful digital archiving include quality, persistence, interoperability, and planning for future technological changes.
This document discusses different file formats, input and output devices, and storage techniques discussed in Chapter 3 of the textbook Fundamentals of Multimedia. It provides information on common file formats like GIF, JPEG, PNG, and TIFF. It also describes various input devices for multimedia like mice, touchscreens, and digital pens. Finally, it covers storage media such as magnetic disks, optical disks, magnetic tape, and their characteristics.
The document defines key technical terms related to digital images and computer graphics:
1. Pixels are the smallest controllable elements that make up a digital image on screen, and resolution refers to the total number of pixels that can be displayed horizontally and vertically.
2. Raster images are composed of pixels in a grid, while vector images use mathematical relationships between points and paths.
3. Common file formats include BMP, PNG, GIF, TIFF, JPG, PSD, PDF, EPS and AI, each suited to different types of images and uses.
4. Data compression reduces file size by identifying and removing statistical or unnecessary information from an image, which can be either lossless or loss
Stem 71 24 multimedia elements - graphicsKelly Bauer
This document provides information about different types of graphics, including bitmapped and vector images. It discusses common file formats for images like JPEG, GIF, PNG, and TIFF. It also covers topics like resolution, color depth, importing images through scanning and digital cameras. Graphics tablets, stock photos, and image editing techniques like layering, filters, and manipulation are briefly mentioned.
The document defines several key terms related to digital images and file formats:
1. Pixel resolution refers to the number of pixels that can be displayed horizontally and vertically on a screen or image, with higher resolutions showing more detail but requiring larger file sizes.
2. There are two main types of computer graphics - raster (bitmap) images composed of pixels, and vector images composed of geometric paths.
3. Common file formats for digital images include BMP, PNG, GIF, TIFF, JPG, PSD, PDF, EPS and AI. Each has advantages for different types of images and uses.
4. Data compression reduces file sizes by removing unnecessary information, and can be lossless or lossy
This technical file discusses digital image formats and resolution. It describes:
1) The difference between raster (bitmap) images composed of pixels and vector images composed of paths.
2) Common file formats for raster images like BMP, PNG, GIF, TIFF, JPG and their typical uses. Vector formats like PDF, EPS, and AI are also discussed.
3) Concepts of image compression, including lossy and lossless compression methods, and optimizing file structures through labeling and organization to improve storage and retrieval of assets.
Pixel resolution determines the number of distinct pixels that can be displayed. Vector graphics use geometrical primitives based on mathematical expressions, while raster graphics represent images as a grid of pixels.
File formats specify how bits are used to encode image information. Common formats include GIF for images with a limited color palette, JPEG for photographic images using lossy compression, TIFF for bitmaps, EPS for vector graphics and bitmaps, BMP for Windows graphics, PNG for truecolor images, and PSD for layered Photoshop files.
Data compression reduces file size by eliminating statistical redundancy (lossless) or removing marginally important information (lossy). Image capture devices like digital cameras and scanners convert images to digital formats,
Lecture given on January 28, 2019 to post-graduate students of the Computer Engineering and Media program, at the School of Journalism and Media, Aristotle University of Thessaloniki.
This is the subject slides for the module MMS2401 - Multimedia System and Communication taught in Shepherd College of Media Technology, Affiliated with Purbanchal University.
This document summarizes various topics related to image processing including image data types, file formats, acquisition, storage, processing, communication, display, and enhancement techniques. It discusses key concepts such as image fundamentals, color models, resolution, bit depth, file formats like JPEG, GIF, TIFF, compression techniques including lossless, lossy, intraframe, interframe, and algorithms like run length encoding and Shannon-Fano coding. Image enhancement topics covered are point processing, spatial filtering, and color image processing.
This document discusses different methods for storing data on computers. It describes primary storage, such as RAM, and secondary storage, such as hard disks, which can hold much more data than primary storage but is slower to access. The document then discusses how different types of data, such as text, graphics, audio, and video, are represented and stored digitally. It also covers topics like data compression, animation, and error detection techniques used for digital storage.
PROCESSING AND ANALYSIS OF DIGITAL IMAGES: HOW TO ENSURE THE QUALITY OF DATA ...rtme
It is a common activity for researchers in materials science, the constant use of scanned images generated
by electron microscopes. While virtually all equipment that generate these images (micrographs) can use a
file type most suitable for capturing image data generated (as TIFF or RAW files in case of metallography),
many researchers choose to use a file format more common as JPEG, for example, perhaps the reason of
the space available on portable storage devices (USB, CD or DVD) that owns, or by the lack of knowledge
about the types of image files and their appropriate use. The problem with the use of certain types of image
formats is mainly the loss of the original data captured by an electron microscope. As if that were not
enough, the application of filters and processes in the original image must also be carefully crafted so as
not to lose or change data captured or data relevant to the study. This article seeks to highlight the
treatment of images in research and publications done by researchers with no knowledge of this matter,
since the use of scanned images is only a resource to continue the progress of their own research.
Furthermore, this article aims to promote a discussion on how to treat the problem of digital images
published in scientific papers so that researches can really be replicated in full.
This document summarizes a presentation on image processing. It introduces image processing and discusses acquiring images in digital formats. It covers various aspects of image processing like enhancement, restoration, and geometry transformations. Image processing techniques discussed include histograms, compression, analysis, and computer-aided detection. Color imaging and different image types are also introduced. The document concludes with mentioning some common image processing software.
Image compression techniques can be lossless or lossy. Lossless techniques compress files without losing information using methods like run length encoding or Huffman coding. Lossy techniques like JPEG discard unnecessary details to achieve higher compression ratios at the cost of some quality loss. Popular Python libraries for image compression and processing include Pillow, OpenCV, and scikit-image, which support various algorithms such as discrete cosine transform and wavelet transform.
The presentation layer formats and encrypts data before sending it over the network. It ensures the receiver can understand the information by standardizing formats. It performs tasks like data compression, encryption, and converting between data representations. Common presentation layer protocols are SSL, XDR, and AFP. The layer defines file formats for images, sound, video and other multimedia, as well as text and markup languages.
Higher resolution images contain more detail, which can be measured by pixel count. Raster images are composed of pixels in a grid, while vector images use mathematical relationships between points and paths. Bitmaps are best for photos needing subtle shading, while vectors are more suited to illustrations. Common file formats include JPEG for photos and GIF/PNG for web use, with different compression levels and capabilities. Optimizing images balances file size and quality for different purposes.
1- List of modalities and study types
2- CT/US/DX Study Structure
3- DICOM composite instance IOD information module
4- Storage of DICOM image in PACS server
5- Imaging Data
6- Query and Retrieval from PACS
7- Window Width/ Window Center
8- DCM File Sections
the compression of images is an important step before we start the processing of larger images or videos. The compression of images is carried out by an encoder and output a compressed form of an image. In the processes of compression, the mathematical transforms play a vital role.
DAMbusters: IWM’s Mission to Design and Implement a Bespoke DAMSAxiell ALM
Emily Dodd, Head of Collections Development & Information, Rob Tyler, DAMS Manager & Rosie Forrest, Collections Systems Manager, Imperial War Museum
IWM was founded to collect and preserve objects that would capture the human experience of the First World War. At the formal opening of the museum King George V talked about creating “a memorial which speaks to the heart and to the imagination” made of items which “had an individual history which could be recorded and cherished”. 100 years on, our collection is increasingly digital and we needed to invest in a DAMS which we could build on for the next 100 years.
We will share the challenges and opportunities of our journey to creating an Axiell DAMS integrated with Adlib. We will take you through the complete process from commissioning, designing and testing to implementing a successful system. Along the way we will discuss working with users, technical specifications for digitisation, assessing future capacity and developing a fit for purpose infrastructure, with some of the lessons we have learned.
Standards and procedure in digitization and digital preservationCandy Husmillo
There are some standards for aspects of digitization and digital archiving, such as ISO standards for digitizing records and using PDF format for long-term preservation. However, standards are limited and there are no formal standards governing digital image capture, processing, and storage. Best practices have been developed instead. Common terms and concepts in digitization include masters and derivatives, resolution, file formats, compression, and optical character recognition. Considerations for successful digital archiving include quality, persistence, interoperability, and planning for future technological changes.
This document discusses different file formats, input and output devices, and storage techniques discussed in Chapter 3 of the textbook Fundamentals of Multimedia. It provides information on common file formats like GIF, JPEG, PNG, and TIFF. It also describes various input devices for multimedia like mice, touchscreens, and digital pens. Finally, it covers storage media such as magnetic disks, optical disks, magnetic tape, and their characteristics.
The document defines key technical terms related to digital images and computer graphics:
1. Pixels are the smallest controllable elements that make up a digital image on screen, and resolution refers to the total number of pixels that can be displayed horizontally and vertically.
2. Raster images are composed of pixels in a grid, while vector images use mathematical relationships between points and paths.
3. Common file formats include BMP, PNG, GIF, TIFF, JPG, PSD, PDF, EPS and AI, each suited to different types of images and uses.
4. Data compression reduces file size by identifying and removing statistical or unnecessary information from an image, which can be either lossless or loss
Stem 71 24 multimedia elements - graphicsKelly Bauer
This document provides information about different types of graphics, including bitmapped and vector images. It discusses common file formats for images like JPEG, GIF, PNG, and TIFF. It also covers topics like resolution, color depth, importing images through scanning and digital cameras. Graphics tablets, stock photos, and image editing techniques like layering, filters, and manipulation are briefly mentioned.
The document defines several key terms related to digital images and file formats:
1. Pixel resolution refers to the number of pixels that can be displayed horizontally and vertically on a screen or image, with higher resolutions showing more detail but requiring larger file sizes.
2. There are two main types of computer graphics - raster (bitmap) images composed of pixels, and vector images composed of geometric paths.
3. Common file formats for digital images include BMP, PNG, GIF, TIFF, JPG, PSD, PDF, EPS and AI. Each has advantages for different types of images and uses.
4. Data compression reduces file sizes by removing unnecessary information, and can be lossless or lossy
This technical file discusses digital image formats and resolution. It describes:
1) The difference between raster (bitmap) images composed of pixels and vector images composed of paths.
2) Common file formats for raster images like BMP, PNG, GIF, TIFF, JPG and their typical uses. Vector formats like PDF, EPS, and AI are also discussed.
3) Concepts of image compression, including lossy and lossless compression methods, and optimizing file structures through labeling and organization to improve storage and retrieval of assets.
Pixel resolution determines the number of distinct pixels that can be displayed. Vector graphics use geometrical primitives based on mathematical expressions, while raster graphics represent images as a grid of pixels.
File formats specify how bits are used to encode image information. Common formats include GIF for images with a limited color palette, JPEG for photographic images using lossy compression, TIFF for bitmaps, EPS for vector graphics and bitmaps, BMP for Windows graphics, PNG for truecolor images, and PSD for layered Photoshop files.
Data compression reduces file size by eliminating statistical redundancy (lossless) or removing marginally important information (lossy). Image capture devices like digital cameras and scanners convert images to digital formats,
Lecture given on January 28, 2019 to post-graduate students of the Computer Engineering and Media program, at the School of Journalism and Media, Aristotle University of Thessaloniki.
This is the subject slides for the module MMS2401 - Multimedia System and Communication taught in Shepherd College of Media Technology, Affiliated with Purbanchal University.
This document summarizes various topics related to image processing including image data types, file formats, acquisition, storage, processing, communication, display, and enhancement techniques. It discusses key concepts such as image fundamentals, color models, resolution, bit depth, file formats like JPEG, GIF, TIFF, compression techniques including lossless, lossy, intraframe, interframe, and algorithms like run length encoding and Shannon-Fano coding. Image enhancement topics covered are point processing, spatial filtering, and color image processing.
This document discusses different methods for storing data on computers. It describes primary storage, such as RAM, and secondary storage, such as hard disks, which can hold much more data than primary storage but is slower to access. The document then discusses how different types of data, such as text, graphics, audio, and video, are represented and stored digitally. It also covers topics like data compression, animation, and error detection techniques used for digital storage.
PROCESSING AND ANALYSIS OF DIGITAL IMAGES: HOW TO ENSURE THE QUALITY OF DATA ...rtme
It is a common activity for researchers in materials science, the constant use of scanned images generated
by electron microscopes. While virtually all equipment that generate these images (micrographs) can use a
file type most suitable for capturing image data generated (as TIFF or RAW files in case of metallography),
many researchers choose to use a file format more common as JPEG, for example, perhaps the reason of
the space available on portable storage devices (USB, CD or DVD) that owns, or by the lack of knowledge
about the types of image files and their appropriate use. The problem with the use of certain types of image
formats is mainly the loss of the original data captured by an electron microscope. As if that were not
enough, the application of filters and processes in the original image must also be carefully crafted so as
not to lose or change data captured or data relevant to the study. This article seeks to highlight the
treatment of images in research and publications done by researchers with no knowledge of this matter,
since the use of scanned images is only a resource to continue the progress of their own research.
Furthermore, this article aims to promote a discussion on how to treat the problem of digital images
published in scientific papers so that researches can really be replicated in full.
This document summarizes a presentation on image processing. It introduces image processing and discusses acquiring images in digital formats. It covers various aspects of image processing like enhancement, restoration, and geometry transformations. Image processing techniques discussed include histograms, compression, analysis, and computer-aided detection. Color imaging and different image types are also introduced. The document concludes with mentioning some common image processing software.
Image compression techniques can be lossless or lossy. Lossless techniques compress files without losing information using methods like run length encoding or Huffman coding. Lossy techniques like JPEG discard unnecessary details to achieve higher compression ratios at the cost of some quality loss. Popular Python libraries for image compression and processing include Pillow, OpenCV, and scikit-image, which support various algorithms such as discrete cosine transform and wavelet transform.
The presentation layer formats and encrypts data before sending it over the network. It ensures the receiver can understand the information by standardizing formats. It performs tasks like data compression, encryption, and converting between data representations. Common presentation layer protocols are SSL, XDR, and AFP. The layer defines file formats for images, sound, video and other multimedia, as well as text and markup languages.
Higher resolution images contain more detail, which can be measured by pixel count. Raster images are composed of pixels in a grid, while vector images use mathematical relationships between points and paths. Bitmaps are best for photos needing subtle shading, while vectors are more suited to illustrations. Common file formats include JPEG for photos and GIF/PNG for web use, with different compression levels and capabilities. Optimizing images balances file size and quality for different purposes.
1- List of modalities and study types
2- CT/US/DX Study Structure
3- DICOM composite instance IOD information module
4- Storage of DICOM image in PACS server
5- Imaging Data
6- Query and Retrieval from PACS
7- Window Width/ Window Center
8- DCM File Sections
the compression of images is an important step before we start the processing of larger images or videos. The compression of images is carried out by an encoder and output a compressed form of an image. In the processes of compression, the mathematical transforms play a vital role.
DAMbusters: IWM’s Mission to Design and Implement a Bespoke DAMSAxiell ALM
Emily Dodd, Head of Collections Development & Information, Rob Tyler, DAMS Manager & Rosie Forrest, Collections Systems Manager, Imperial War Museum
IWM was founded to collect and preserve objects that would capture the human experience of the First World War. At the formal opening of the museum King George V talked about creating “a memorial which speaks to the heart and to the imagination” made of items which “had an individual history which could be recorded and cherished”. 100 years on, our collection is increasingly digital and we needed to invest in a DAMS which we could build on for the next 100 years.
We will share the challenges and opportunities of our journey to creating an Axiell DAMS integrated with Adlib. We will take you through the complete process from commissioning, designing and testing to implementing a successful system. Along the way we will discuss working with users, technical specifications for digitisation, assessing future capacity and developing a fit for purpose infrastructure, with some of the lessons we have learned.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Image types &fileformats
1. Image file format
• Each way of storing an image is called
a file format
• Each file format converts the image to a
corresponding string of bits differently in
order to store them on disk or transmit
them over the Internet
Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
3. Common File Formats
Bitmap Formats
• GIF: graphics
interchange format
• JPEG: joint
photographic experts
group
• PNG: portable network
graphic
• BMP: Windows bitmap
• TIFF: tagged image file
format
Vector Formats
• SVG : scalable vector
graphics
• EPS: encapsulated
postscript
• CMX: Corel meta
exchange
• PICT: Macintosh
Picture
• WMF: Windows
metafile
4. Image types
• Black and white image
• Binary Image
• Bit map mage
• Gray scale image
• Raster image
• Multispectral Image
Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
5. • A bit map (often spelled "bitmap")
defines a display space and the color
for each pixel or "bit" in the display
space. A Graphics Interchange Format
and a JPEG are examples of
graphic image file types that contain bit
maps.
Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
BIT MAP Image
6. BIT MAP Image
Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
7. Multi spectral image
• A multispectral image is one that
captures image data within specific
wavelength ranges across the
electromagnetic spectrum.
Multispectral imaging measures light
in a small number (typically 3 to 15) of
spectral bands.
Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
9. Raster image
Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
A raster graphics or bitmap image is a dot matrix data structure that represents a
generally rectangular grid of pixels (points of color), viewable via a monitor, paper,
or other display medium. Raster images are stored in image files with varying
formats.
10. Gray scale image
• Grayscale is a range of shades of gray without
apparent color. The darkest possible shade is black,
which is the total absence of transmitted or reflected
light. The lightest possible shade is white, the total
transmission or reflection of light at all
visible wavelength s. Intermediate shades of gray are
represented by equal brightness levels of the three
primary colors (red, green and blue) for transmitted
light, or equal amounts of the three primary pigments
(cyan, magenta and yellow) for reflected light.
Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
11. Gray scale image
Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
12. Binary Image
• A binary image is a digital image that
has only two possible values for each
pixel. Typically, the two colors used for
a binary image are black and white.
The color used for the object(s) in
the image is the foreground color while
the rest of the image is the background
color.
Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
13. Binary image
Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
14. Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
Source: Kenney, A. and O. Rieger, Moving theory into practice. Digital imaging for libraries and archives (Cornell University Library, 2000.
16. Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
Why are there so many different graphic file
formats?
• There are a number of fundamental different
types of graphical data
– raster data (sampled values)
– geometry data (mathematical description of space)
– latent image data (data transformed into useful
images by some algorithmic process)
• To prevent usage beyond control of the
developer (Who remembers KodakPhoto CD?)
• Wide range of design principles (Mainly ‘speed’
and ‘memory’)
17. Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
Features of standard image file formats
1. Used by large community during a considerable period of
time
2. Specifications must be in the public domain or published by
SDO (standards developing organization)
3. Wide range of systems has to support the format
4. No data compression (loss of quality / higher risk)
5. Must contain facilities to store preservation metadata
6. Must enable coding of all significant characteristics of
analogue original
18. Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
00208a.tiff:
Magic: 0x4949 <little-endian> Version: 0x2a
Directory 0: offset 132610346 (0x7e7792a) next 0 (0)
ImageWidth (256) SHORT (3) 1<9681>
ImageLength (257) SHORT (3) 1<6849>
BitsPerSample (258) SHORT (3) 1<16>
Compression (259) SHORT (3) 1<1>
Photometric (262) SHORT (3) 1<1>
DocumentName (269) ASCII (2) 17<ppprs/00208a.tif0>
StripOffsets (273) LONG (4) 2283<8 58094 116180 174266 232352 290438
348524 406610 464696 522782 580868 638954 697040 755126 813212 871298
929384 987470 1045556 1103642 1161728 1219814 1277900 1335986 ...>
Orientation (274) SHORT (3) 1<1>
SamplesPerPixel (277) SHORT (3) 1<1>
RowsPerStrip (278) SHORT (3) 1<3>
StripByteCounts (279) LONG (4) 2283<58086 58086 58086 58086 58086 58086
58086 58086 58086 58086 58086 58086 58086 58086 58086 58086 58086 58086
58086 58086 58086 58086 58086 58086 ...>
XResolution (282) RATIONAL (5) 1<1425>
YResolution (283) RATIONAL (5) 1<1425>
PlanarConfig (284) SHORT (3) 1<1>
ResolutionUnit (296) SHORT (3) 1<2>
DateTime (306) ASCII (2) 20<2000:03:21 21:36:290>
Artist (315) ASCII (2) 20<Library of Congress0>
Example: TIFF file
19. Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
XML: eXtensible Markup Language
• Information interchange format
• Standard, developed by World Wide Web
consortium (http://www.w3c.org/xml)
• Application independent
• No pre-defined markup tags (extensible)
• Both human and machine
understandable
20. Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
Durable encoding of the bitstream
0 1 2
2
0
1
Bi-tonal bitmap consisting of 9 pixels
<bitmap>
<pixel>
<position>
<horizontal>0</horizontal>
<vertical>0</vertical>
</position>
<colour>black</colour>
</pixel>
<pixel>
<position>
<horizontal>0</horizontal>
<vertical>1</vertical>
</position>
<colour>white</colour>
</pixel>
...
</bitmap>
Bitmap expressed in XML
21. Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
Digital image expressed in XML
• Expression of content model in XML
• Elements and attributes that are part of the
bitstream, e.g. standardized color coding of
pixels
• Binary to XML conversion
• Conversion of image format (e.g. TIFF) into
XML
• XML to binary conversion
• In the future
22. Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
Bitstream syntax description language (BSDL)
• XML-based language which forms part of a
methodology designed to provide a generic
solution at bitstream level to adopt a single
media element
• Described high level structure of a bitstream.
Each format requires specific content model
• Thorough knowledge required on the way the
bits are organized
• Absence of “binary to XML” and “XML to
binary functionality
23. Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
Example: BSDL Schema of a JPEG2000 image
24. Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
Conclusions
• TIFF image file format often used as format
for digital master image (Adobe Systems Incorporated,
TIFF revision 6.0, Final – June 3, 1992
<http://partners.adobe.com/asn/developers/pdfs/tn/TIFF6.pdf>)
• Bitstream in XML format: more research
required
• Preservation metadata: application profiles &
registries help to ‘discriminate exactly what
we know vaguely’
25. Preservation of Image Documents
Chinese-European Workshop on digital preservation. Beijing. July 14-16 2004
"Theory without practice is empty.
Practice without theory is blind"
John Dewey
Editor's Notes
An obvious way to create durable digital objects is to use standardized file formats. A standard has the connotation of a well designed, widely used, and broad supported object. Empirically the requirements for standard data formats are given, followed by an assessment of existing data formats for digital raster files. A standard data format for digital objects must meet three conditions:
1. A large community must use the data format during a considerable period of time.
2. The specifications of the data format must be in the public domain or be published by a standards developing organization (SDO) such as ISO.
3. A wide range of relevant systems has to support the format, such as image capture devices as well as image processing systems.
For digital raster images acting as digital surrogates of historical photographs another three requirements for a standardized data format can be formulated:
Data compression should not be used due to a number of drawbacks. Most data compression leads to loss of image quality. Next to that a compressed image has a bigger risk to become unreadable in the future than an uncompressed digital image as a corrupt bit in a compressed image results in a “dead image”, chances are that a corrupt bit in an uncompressed image is just a “dead pixel”.
5. A durable data format for digital surrogates of historical photographs should contain facilities to store preservation metadata. The quality and granularity of the metadata is an important factor for the future usage of the data format and thus its longevity.
6. The image file format must enable the coding of all significant characteristics of the analogue original that it is based on. This means that all colors, details and the dynamic range of the original can be represented in the digital image.
The fundamental unit of digital data is the binary digit or bit. A bit stream is the sequence of bits that make up a digital object such as a digital raster image. The specification of the data format prescribes the organization or the bit stream. By using non-proprietary data coding methods the data object will remain accessible in case new software or hardware is introduced. The correct interpretation of the bit stream is the most challenging problem to be solved. For this a durable data structure of the bit stream is required as well as a method to interpret the data in a sensible way.
To a large extent the dependence on specific software and hardware for the processing of digital objects can be avoided by using the XML data format. This standardized data format is considered as self-descriptive and it does not require proprietary software to get access to the data. An essential requirement to access an XML formatted bit stream is to recognize the internal character encoding of the XML file. The auto detection or bootstrap mechanism of the XML encoding declaration is based on the ISO/IEC 10646 standard. This standard contains the legal binary codes that can be used for the markup codes or character data in the XML file. The XML markup codes are restricted in position and content to enable auto detecting the applied character encoding in use. According to the standard the first sequence of characters of an XML file must be &lt;?xml&gt;. The XML processor must detect this sequence of characters. After reading two or four octets the processor will be able to understand the byte ordering method and thus solve the bootstrapping problem.
The following three functions are important regarding the creation and usage of a bit stream representing a digital image expressed in XML:
· Expression of the content model in XML. The determination of the elements and attributes that are part of the image bit stream. The quality of the image file formatted in XML improves if the content model on which the XML instantiation is based meets the features of a standardized rich image file format.
· Binary to XML conversion. A generator is required that converts the binary image, e.g. in TIFF standard into an XML formatted file. This conversion process must of course take a content model into consideration. The content model must cover all features of the binary image file format.
XML to binary conversion. The conversion of the XML formatted bit stream representing the digital image into a binary format that can be processed by a (future) computer platform. The archived, original binary format needs to be re-generated since it is the only understandable and usable format for the final user.
BSDL is developed to enhance the interoperability between different multimedia formats. A main benefit of BSDL is that objects expressed in XML according to BSDL are easily accessible by text retrieval engines and that multi-layered multimedia objects can be manipulated on an individual layer basis. The XML representation of the bit stream enables the definition of editing operations on the XML document e.g. by modifying some element or attribute values. For each binary format a specific content model is required and adjusted for the specific features of the binary format. The application of BSDL requires thorough knowledge on the multimedia format with respect to the way the bits are organized. BSDL uses the W3C style sheet language XSLT to transform the XML descriptions of multimedia formats. This transformation does not result in a binary object. The XSLT transformation results in a
“transformed XML description” and must be converted into a binary bit stream. An XSLT style sheet contains one or several templates defining the modifications to be applied to the elements or to the attributes matching a set of conditions. The result of the XSLT transformation is also an XML file “from which it is possible to re-generate an adapted and compliant bit stream from the resulting description”.
The value of the BSDL approach for creating durable digital surrogates of historical photographs can be determined when the file format used for digital master images (e.g. TIFF 6.0) is expressed in BSDL and when the system as described in the system architecture is implemented. A strong point of BSDL is that it provides a framework for the expression of a binary format resulting in a durable expression of this format. The absence of “XML to binary” and “binary to XML” functionality is a drawback of this method in its current state.
A number of quality requirements for durable digital surrogates of historical photographs are distinguished. The conversion process must be based on benchmarked settings. In case high quality digital master images are created the long-term access and usage requires special attention. Despite the fact that it is impossible to predict which method in the end will be the most efficient, some methods currently available can be assessed as building blocks for durable digital surrogates of historical photographs, or permanent pixels. These methods are: the application of image file format standards, the expression of the digital surrogate in the XML data format and the creation and employment of preservation metadata. This paper reports on research to what extent assessed durability building blocks can be realized in practical situations.