Brief Information

• Name : Digital Image Processing
• Lecturer : Lee Yun-Gu
• Semester : 2014 Fall
• Course : BE. Computer Science and Engineering
• Textbook : Gonzalez, R., C. and Woods, R., E. (2007) Digital Image Processing. 3rd E. Prentice Hall.
• Syllabus [link]

Trace lectures

Listing themes I learned in the lecture in time order.

• Image compression
• data redundancy
• coding redundancy

Assignments

1. Create image files and zoom in/out and rotation.
   1. Create image files: polygons, gradation.
   2. Zoomed in & out image files using bilinear interpolation: 256*256 to 436*436 and 512*512.
   3. Create rotated image files: cases of 30, 45, 60 degree.
2. Histogram equalization, Smoothing, Sharpening, Median filter
   1. Histogram equalization
   2. Smoothing: average filter 3*3, average filter 7*7, weight average filter 3*3, and their comparison.
   3. Sharpening: negative weight average filter 3*3
   4. Median filtering: median filter 3*3
3. Implement a 2D-DFT function and its inverse using C language. And implement a smoothing function in frequency, a lowpass filter.
   1. Implement 2D-DFT function and its inverse function
   2. Output smoothing images using lowpass filters of 5 different radiuses in frequency domain.

Summarize?themes

 

My comments

• statistics, discretelty converting, signal processing: helpful to understand and develop image processing idea.