Introduction to Digital Image Processing

33,969 views
33,612 views

Published on

This ppt gives a brief introduction about digital image processing.

Published in: Technology, Art & Photos
2 Comments
26 Likes
Statistics
Notes
No Downloads
Views
Total views
33,969
On SlideShare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
2,355
Comments
2
Likes
26
Embeds 0
No embeds

No notes for slide

Introduction to Digital Image Processing

  1. 1. Digital Image Processing Introduction Paresh Kamble by Paresh Kamble
  2. 2. Digital Image Processing Processing images which are digital in nature.
  3. 3.  In 1920s Submarine cables were used to transmit digitized newspaperpictures between London and New York using Bartlane systems. Specialized printing equipments were used to code the images andreproduced at receiver using telegraphic printers. Fig. Image produced using telegraphic printer
  4. 4. Fig. 2 Fig. 3In 1921, photographic printing press improved the resolution and tonalquality of images.Bartlane system was capable of coding 5 distinct brightness levels.It increased to 15 by 1929.
  5. 5. After 35 years of improvement in processing techniqueIn 1964, Computer processing techniques were used to improve picture ofmoon transmitted by Ranger 7 at JPL.This was the basis of modern image processing technique. Fig. 4 Fig. 5 Fig. 6
  6. 6.  Why do we need Image Processing? It is motivated by 2 major applications:(i) Improvement of pictorial information for human perception.(ii) Image processing for autonomous machine application.(iii) Efficient storage & transmission.
  7. 7. Improvement of pictorial information for human interpretation and analysis.Typical applications: Noise filtering Content Enhancement  Contrast enhancement  Deblurring Remote sensing
  8. 8. Fig. Thermal / IR view of a Chip
  9. 9. Fig. IR satellite view ofAugustine volcano
  10. 10. Fig. IR image of a sloth at night
  11. 11. Fig. Night vision system used by soldiers
  12. 12. Fig. IR Satellite Imagery
  13. 13. Fig. Nebula NGC 1514 01 in Visible (left) and Infrared (right)
  14. 14. Fig. Fetus and Thyroid using ultrasound
  15. 15. Fig. Detecting Earthquakes and its cause using cross sectional view
  16. 16. Fig. Detect ozone layer damage
  17. 17. Fig. Identify sun spots
  18. 18. Fig. Identify solar flares
  19. 19. Fig. X ray of neck
  20. 20. Fig. X ray of head
  21. 21. Fig. X ray of a Glucose meter circuit
  22. 22. Fig. Gamma ray exposed images
  23. 23. Fig. Gamma ray bursts in space
  24. 24. Fig. Gamma ray bursts in space
  25. 25. Fig. Gamma ray bursts in space
  26. 26. Fig. Satellite images of Mumbai suburban(Left) and Gateway of India (Right)
  27. 27. Fig. Satellite images of Taj Mahal
  28. 28. Wavelet & Color Image Morphological multiresolution Compression Processing Processing processing Image Segmentation RestorationImage Filtering Knowledge base Representation& Enhancement & Description Image Object Acquisition Recognition
  29. 29. Image Acquisition:First processInvolves image preprocessing viz. scalingImage Enhancement:Process of image manipulation to make it more suitable for specific useDifferent images require different enhancement methodsSubjective techniqueImage Restoration:Based on mathematical or probabilistic models of image degradation thusobjective.
  30. 30. Color Image Processing: Gained importance due to increase use of internetWavelets:Used mainly for image data compression & pyramidal representation whereimages are divided into smaller regions.Compression:Technique for reducing the storage required to save image, or bandwidthrequired to transmit it.JPEG (Joint Photographic Experts Group)TIF(Tagged Image File) or TIFF(Tagged Image File Format)PNG(Portable Network Graphics)GIF(Graphics Interchange Format)BMP(Bitmap image file)
  31. 31. Morphological Processing : Deals with tools for extracting image componentsSegmentation: partition an image into constituent parts or objects.Representation & description: follows output of segmentation with raw pixel data usually boundaryinformation or regional description.Object recognition: process of assigning a label to an object based on its description.
  32. 32. NetworkImage Displays Computer Mass Storage Hardcopy Image Processing Image Processing H/W S/W Image Sensors Problem Domain
  33. 33. Sensors: Two elements required to acquire digital images Physical device: sensitive to the energy radiated by the object we wish to image.Digitizer: converts output of physical sensing device into digital form.Specialized image processing hardware: Digitizer + hardware Hardware: Performs Arithmetic Logic Unit (ALU) on entire image.Computer: Image processing system ranging from PC to supercomputerImage Processing Software: Specialized modules performing specific tasks
  34. 34. Mass Storage: Image of size 1024 * 1024 pixels with pixel intensity of 8-bit requires 1 Mbstorage space.Image Displays: Flat screen, TV, Monitors, LCD, LED, 3D displaysHardcopy: Laser Printers, Camera Films, Heat Sensitive devices, inkjet units, digital unitslike optical and CD-ROM.Networking: Communicating with remote sites on internet.
  35. 35. End of Topic-1

×