Image Processing Basics - Digital Signal Processing: Fundamentals and Applications - page 759

14.3. Given a pixel in an RGB image

R ¼ 200 ; G ¼ 120 ; B ¼ 100

convert the RGB values to YIQ values.
14.4. Given a pixel of an image in YIQ color format
Y ¼ 141 ; I ¼ 46 ; Q ¼ 5
convert the YIQ values back to RGB values.
14.5. Given the 2 2 RGB image,

" 100 # " 20 # " 100 #

50 40 50

R ¼ G ¼ B ¼

100 50 10 30 200 150

convert the image into grayscale.

14.6. Produce a histogram of the following image, which has a grayscale value ranging from 0 to

7, that is, each pixel is encoded in 3 bits.
2

3

01220
21121
11423
02561

4 5

14.7. Consider the following image with a grayscale value ranging from 0 to 7, that is, each pixel
is encoded in 3 bits:

2 3

01220
21121
11423
02561

4 5

Perform equalization using the histogram in Problem 14.6, and plot the histogram for the
equalized image.
14.8. Consider the following image with a grayscale value ranging from 0 to 7, that is, each pixel
is encoded in 3 bits:

2 3

2442
2333
4442
3234

4 5

Perform level adjustment to the full range, shift the level to the range from 3 to 7, and shift the
level to the range from 0 to 3.