1) Introduction to Image Processing Toolbox.
2) Read an 8 bit image and then apply different image enhancement techniques:
(a) Brightness improvement
(b) Brightness reduction
(c) Thresholding
(d) Negative of an image
(e) Log transformation
(f) Power Law transformation.
3) Implement different interpolation techniques using MATLAB/ Scilab.
4) Read an image, plot its histogram then do histogram equalization. Comment about the result.
5) (a) Implement Gray level slicing (intensity level slicing) in to read cameraman image.
(b) Read an 8 bit image and to see the effect of each bit on the image.
(c) Read an image and to extract 8 different planes i.e. “bit plane slicing.”
6) Implement various Smoothing spatial filter.
7) Read an image and apply (a) Gaussian 3×3 mask for burring (b) High pass filter mask with different masks (c) Laplacian operator with centre value positive and negative (d) High boost filtering.
8) Write a program to implement various low pass filters and high pass filter in frequency domain.
9) Write a program for erosion and dilation, opening & closing using inbuilt and without inbuilt function.
10) Implement and study the effect of Different Mask (Sobel, Prewitt and Roberts).
11) Implement various noise models and their Histogram.
12) Implement inverse filter and wiener filter over image and comment on them.
13) Implement Image compression using DCT Transform.
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