Digital image processing


Published on

Only the Introduction

Published in: Technology, Art & Photos
  • Be the first to comment

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

Digital image processing

  1. 1. An Introduction to Image Rendering
  2. 2. Images are Pictures!! A way of recording and presenting information visually. Used to save visual experiences. A picture is worth a 1000 words…I think more!!!
  3. 3. Photography  An imaging technique. Requires a light source – be it any portion of electromagnetic spectrum. It includes X-rays as well as microwaves.
  4. 4. X-Ray Image 
  5. 5. Digital Elevation Model of Antarctica 
  6. 6. Image Processing  Wide range of techniques available for modifying and manipulating images in various ways. DIP-Digital Image Processing Processing of digital images with the help of computers.
  7. 7. Example: Contrast Enhancement 
  8. 8. Removal of Motion Blur 
  9. 9. Image Warping 
  10. 10. Imaging  Imaging is the process of acquiring images. Shorthand for image acquisition. Process of sensing our surroundings and then representing the measurements that are made in the form of an image. Passive imaging – employs energy sources that are already present in the scene. Active imaging – involves use of artificial energy sources to probe our surroundings.
  11. 11. Imaging Contd…  Passive imaging is subject to the limitations of existing energy sources. Active imaging is not restrictive in this way but is invariably a more complicated & expensive procedure. Active imaging predominates in medical field, where precise control over radiations sources is essential. Active imaging is also an important tool in remote sensing.
  12. 12. Why prefer Light in imaging?  Light is familiar, and inherently safe. Light can be generated reliably and cheaply. Light is easy to control and process with optical hardware. Light can be detected easily.
  13. 13. Image Formation 
  14. 14. Image Defined  A 2-D function, f( x, y ), where x and y are spatial(plane) coordinates, & the amplitude of f at any pair of coordinates (x, y) is called the intensity or grey level of the image at that point. When x, y, and the amplitude values of f are all finite, discrete quantities, we call the image a digital image. Imaging machines cover almost the entire EM spectrum, ranging from gamma to radio waves.
  15. 15. Fundamental Steps in a DIP  Image Acquisition Image Enhancement Image Restoration Color Image Processing Wavelets Compression Morphological Processing Segmentation Representation and Description Recognition
  16. 16. Wavelets & Color Morphological Multiresolution Compression processing processing processing Image Segmentation restoration Representation Image Knowledge Base &Enhancement description Image Object Acquisiion Recognition
  17. 17. Components of Image processing  NetworkImage displays Computer Mass Storage Specialized Image Image processing Hardcopy processing software hardware Problem Image Sensors Domain
  18. 18. Any Queries??