A presentation having comparison with 1D signals and 2D signals is given

1. Image Processing Fundamentals &
MATLABMATLAB
B.Chandra Mohan
Bapatla Engineering College
Bapatla

2. 2D Square pulse

3. 2D Ramp Signal

4. 2D Unit Step

5. 2D Impulse

6. 2D Sinusoid

7. 2D Signal and Spectrum

8. 2D Sinusoid (Horizontal) and Spectrum

9. Frequency Domain Filtering
Lowpass Filtering

10. Frequency domain Filtering
(Highpass Filtering)

11. Filtering in Spatial domain
(Masking)

12. Removing Noise using Median Filtering

13. Bit plane Decomposition

14. Image Compression

15. Mechanics of Image Compression
• RGB = imread('autumn.tif');
• I = rgb2gray(RGB);
• J = dct2(I);
• imshow(log(abs(J)),[]), colormap(jet),• imshow(log(abs(J)),[]), colormap(jet),
colorbar
• J(abs(J)<10) = 0;
• K = idct2(J);
• figure, imshow(I)
• figure, imshow(K,[0 255])

16. Color Image Display

17. Other Topics
• Block Processing
• Vector Processing
• Computation Time
• Transforms• Transforms
• Decompositions