1. 3-1 Chapter 3: Image Display The goodness of display of an image depends on (a) Image quality: i) Spatial resolution, ii) Quantization (b) Display device: i) Monitor type (CRT, LED), ii) Graphics card (c) Working environment: e.g., Ambient lighting

2. 3-2 。 Grayscale image: 0-255 。 Binary image: 0, 1 。 Bit images Bit image 1: most significant bit image Bit image 8: least significant bit image

3. 3-3

4. 3-4 -- The process of reducing the number of gray levels in an image using patterns of dots to simulate shades of gray 3.6. Dithering 128 64 32842 ○ Uniform Quantization False contours Halftoning – Represents an image with 2 tones

5. 3-5 Step 1: Construct a dithering matrix Step 2: Generate array D of image size by repeating ○ Dithering

6. 3-6 I I’ Step 3: Thresholding The larger the dithering matrix, the more random in dot scattering

7. 3-7 ○ Extend to more than two gray values Let n: the number of output gray values 5. Scale values of I’ for displaying

8. 3-8 Example 1: 4 output gray values 0, 1, 2, 3 1. 255 / 3 = 85

9. 3-9 Example 2: 8 output gray values 0, …., 7 8 gray levels4 gray levels

10. 3-10 ○ Error diffusion -- An approach of dithering For each pixel I(x,y), 1) Calculate quantization error 2) Spread the error according to Floyd-Steinberg Jarvis-Judice-Ninke

11. 3-11 3) Quantize new I(x,y) to 0 or 255 using threshold 128 Floyd-Steinberg Jarvis-Judice-Ninke