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Lecture 15

Lecture 15. Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002. Geometric Transformation (1). Geometric Transformation (2). Chapter 5 Image Restoration. Geometric Transformation (3). Geometric Transformation (4).

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Lecture 15

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  1. Lecture 15 Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002.

  2. Geometric Transformation (1)

  3. Geometric Transformation (2)

  4. Chapter 5 Image Restoration

  5. Geometric Transformation (3)

  6. Geometric Transformation (4) Tiepoints established by application dependent methods Physical artifacts (like metallic points) embedded on the sensor itself. Produces a known set of points (called reseau marks) on the image as acquired. An image distorted by some other process, e.g., display or image reconstruction can be geometrically corrected.

  7. Chapter 5 Image Restoration

  8. Gray Level Interpolation Above technique can result in noninteger values of x’ and y’ Inferring gray levels can gray level interpolation Two techniques • Nearest neighbor interpolation (zero order interpolation) • Bilinear interpolation from four nearest points

  9. Chapter 5 Image Restoration

  10. Chapter 5 Image Restoration

  11. Color Image Processing Two general types discussed • Full-color –acquired with full color sensor such as a TV camera • Psuedo-color– Problem of assigning a color to a particular monochrome intensity or range of intensities Until recently almost all color processing was psuedo-color,but full color sensors and hardware are now available at reasonable prices

  12. Description of Light Source Chromatic light spans EM spectrum from 400 to 700 nm. Three qualities used to describe light source • Radiance-total amount of energy from source (measured in watts) • Luminance- energy an observer perceives from source (measured in lumens) • Brightness- Embodies notion of intensity. Hard to measure.

  13. Chapter 6 Color Image Processing

  14. Chapter 6 Color Image Processing

  15. Chapter 6 Color Image Processing

  16. Colors • ``Primary’’ colors—red,green,blue • ``Secondary’’ colors—magenta=red+blue; cyan=green+blue; yellow=red+green. In pigment– a primary color subtracts or absorbs primary color of light and reflects or transmits other two Primary colors of pigment are megenta, cyan, and yellow.

  17. Chapter 6 Color Image Processing

  18. Chapter 6 Color Image Processing

  19. Chapter 6 Color Image Processing

  20. Color Models • Red, Green, Blue (RGB) –color monitors and a broad class of video cameras • CMY (cyan, magenta, yellow) and CMYK (cyan, magenta, yellow, black) – for color printing • HIS (hue, saturation, intensity)– corresponds with how humans describe and interpret color

  21. Chapter 6 Color Image Processing

  22. Chapter 6 Color Image Processing

  23. Chapter 6 Color Image Processing

  24. Chapter 6 Color Image Processing

  25. Chapter 6 Color Image Processing

  26. Chapter 6 Color Image Processing

  27. Chapter 6 Color Image Processing

  28. Chapter 6 Color Image Processing

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