电脑影像处理原理

1、電腦影像處理原理Digital Image ProcessingCourse PersonnelInstructor: Taoi Hsu (徐道義)Email: .edu.twWeb: http:/gc.shtaoiOffice: 02-2236-8225 ext. 779Departmental Office: 02-2236-8225 ext 772ReferencesCourse Text: Digital Image Processing,by R.C. Gonzalez and R.E. Woods, Addison Wesley, 1992.Recommended Reading:

2、Eye, Brain, and Vision,D.H. Hubel, Scientific American Library, 1988.Vision in Man and Machine,M. D. Levine, McGraw-Hill Publishing Company, 1985.Digital Image Processing,by K.R. Castleman, Prentice Hall, 1996.Digital Pictures: Representation, Compression, and Standards, 2ndEditionby A.N. Netravali

3、and B.G. Haskell, Plenum, 1995 .Handbook of Visual Communications,by H.M. Hang and J.W. Woods, Academic Press, 1992.Techniques and Standards for Image, Video, and Audio Coding,by K.R. Rao and J.J. Hwang, Prentice Hall, 1996.Image Processing, Analysis, and Machine Vision,by M. Sonka, V. Hlavac, and R

4、. Boyle, PWS Publishing, 1999.A Wavelet Tour of Signal Processing,S. Mallat, Academic Press, 1998.Grading: Homework I ( Sampling and Qunatization ) 10 %Homework II ( Enhancement ) 15 %Homework III ( Halftoning) 20 %Final Project ( Watermarking ) 30 %Midterm Exam 25 % . For the filenames, please use

5、the homework number as the prefix, followed by your student ID number. For example, if your student ID is u8123456 and you are submitting Homework II, then the source code file and the technical report should be named as HWII_8123456.c and HWII_8123456.doc, respectively. Each of the email subject mu

6、st included the shu_section2. After receiving your mail, I will compile your source code and then do both subjective and objective evaluations on the simulation results. For all the homework and the final project, either C/C+ or Matlab programming is allowed. You are encouraged to work in pairs for

7、the final project, but working alone is fine.Prerequisites: Willing to program in C and Matlab. Good knowledge of Signals & Systems and DSP.Major Contents: IntroductionHuman Visual SystemFundamentalsColor ImagingImage TransformsImage EnhancementImage SegmentationImage CodingImage RestorationRepresen

8、tation & DescriptionRelated links Color space conversions Interactive Illustrations of Color Perception Human Vision The Joy of Visual Perception: A Web Book by Peter K.Kaiser, York University Data Hiding Color Format Image Specifications: /JPEG The JPEG Home Page / Machine Vision Online Machine Vis

9、ion: A link to visit the machine vision online MPEG The MPEG Home Page Other Laboratory Stanford Vision Laboratory Others Computer Vision Test Images 第一週Introduction第二週IntroductionHuman Visual System第三週Human Visual System第四週(tku Oct/10)Fundamentals第五週Color Imaging第六週Image Transforms第七週Image TransformsHomework-Idue on next lecture第八週 Midterm Exam第九週Image Enhancement第十週Image Enhancement第十一週Image SegmentationHomework-IIdue on next lecture第十二週Image Segmentation第十三週Image Coding第十四週Image Coding Homework-IIIdue on next lecture第十五週Im