Please see the README.txt for more details of sample codes.
You can use the provided sample codes to practice image filters.
Programming
Write two program codes by yourself: denoise.cpp and edge_detection.cpp by the instruction in PDF.
All the test images in your program should not be the book's example images. You should use your own images.
denoise.cpp: write a program code to run Gaussian, Mean, and Median filters for one image.
You have to change kernel size and compare the blurring results among filters and among kernel sizes.
Then you have to add salt-and-pepper noise and run the three filters again. You have to change kernel size and compare the denoise results among filters and among kernel sizes.
edge_detection.cpp: write a program code to run Sobel and Laplacian filters
You have to use your images to run both Sobel and Laplacian filters. Compare the results of edge images.
Option: Edge detection can be used to sharpen images. Add the original image with its edge image. The result image will become a sharp image. An example is shown in the bottom of this web page.
Report
Create a "single" and "separate" report page with description texts and a lot of pictures for your programs.
Requirements of the report page:
For each program code, you have to write 4 parts: (1) goal of this code, (2) theory and principle of the filter, (3) code segment explanation, and (4) result comparison.
Use "your image" to run your programs.
Change parameters of algorithm's functions to get different result images.
Compare and discuss the result images, and explain why the change of parameters can produce different results.