影像處理

This course introduces the student to the fundamentals of digital image processing. It co-vers principles and algorithms used in various image processing applications. Topics in-clude image representation, human visual system, image filtering, restoration, enhance-ment, segmentation and compression. The course is featured with a series of computer ex-ercises that provide practical experiences on processing digital images using C language and MATLAB. (The lectures are in English.)

Calculus, Linear algebra, Probability, Signals & Systems, and DSP; programming in C/C++ and Matlab

Reference Web: http://www.imageprocessingplace.com/index.htm Recommended Readings: (1) R.C. Gonzalez, R.E. Woods, and S.L. Eddins, Digital Image Processing Using Matlab, 2nd Ed., McGraw Hill, 2009. (2) A. Bovik, Handbook of Image and Video Processing, Academic Press, 2010. (3) R. Szeliski, Computer Vision, Springer-Verlag, 2011

Homework: 50 % (~ 3 computer assignments) Final project: 25% Examine: 25% (2 hours, closed book)

• Introduction
• Fundamentals
• Human Visual System
• Image Transforms
• Image Enhancement
• Color
• Image Segmentation
• Image Coding
• Image Restoration
• Representation & Description
• Selected Topics

R.C. Gonzalez and R.E. Woods, Digital Image Processing, 4th edition, Pearson Education, 2018.