1. 0 Assignment 1 (Due: 10/2) Input/Output an image: (i) Design a program to input and output a color image. (ii) Transform the output color image C(R,G,B) into a grayscale image I by I = (R+G+B)/3.

2. 128 by 128 Assignment 2 (Due: 10/9) Regular sampling Adaptive sampling 64 by 64 Input image Output image 1

3. 128 by 128 Sampled image 64 by 64 Input image 2 Gradient image Adaptive mesh Adapted mesh How to obtain the sampled image from the adapted mesh and the input image? 64 by 64 Adaptive sampling

4. 3 Giving the boundary and corners of an object (you can create by hand), construct chamfer distance arrays for (i) the boundary and (ii) the corners, respectively. It is not necessary that the boundary and corners you created are one-pixel wide. Show the distance arrays, separately, in the image form. Note that before displaying the arrays, its values have to be scaled between 0-255. BoundaryCorners Assignment 3 (Due: 10/16)

5. 4 (1) Create an image g(x,y) whose pixels all have the same gray value of 125. Show the image g(x,y). (2) Generate Gaussian noise with using a) algorithm 2.3, n(x,y), and b) the method addressed in the class, n’(x,y). Show the noisy images f(x,y) and f’(x,y), where f(x,y) = g(x,y) + n(x,y), f’(x,y) = g(x,y) + n’(x,y). (3) Display the histograms h(i) and h’(i) of the noisy images f(x,y) and f’(x,y). (4) Comment on your results. Assignment 4 (Due: 10/30)

6. Input image with gray values of 100 Gaussian noise (Method 1)Histogram Gaussian noise (Method 2) Histogram

7. 6 (1) Choose a color image C. (2) Create a Bayer image B from image C according to the following Bayer pattern. (4) Generate a color image C’ from the Bayer image B using any interpolation method. (5) Compare images C and C’. p.s. It would be very encouraged if you could try more than one interpolation method. Assignment 5 (Due: 11/6)

8. Color image Bayer image Bilinear interpolationConstant hue-based interpolation

9. 8 Assignment 6 (Due: 11/13) e.g., i.e., Show where (a) Any real function can be decomposed into

10. (b) Perform wavelet transform (WT) on Input signal: v = [71 67 24 26 36 32 14 18] 3-9 in which the low pass filter is the averaging operator and the high pass filter is the differencing operator. (a) Show WT results at 1-, 2-, and 3-scale (b) Recover the input signal

11. 10 Assignment 7: LBC and Ratio images (Due: 11/27) (A) (i) Choose a gray level image G. (ii) Generate the 4- and 8-neighbor LBC images of G. (iii) Display the LBC images Note that before displaying the 4-neighbor LBC image, its codes have to be scaled between 0-255 (B) (i) Choose a gray level image G. (ii) Compute its ratio image R. (iii) Display image R. Note that before displaying image R, its pixel values have to be scaled between 0-255

12. 12/4 (i) Take mid-term exam. (Chapters 1 - 4) (ii) Hand in presentation paper and report