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| Meetings: | T Th: 3:00 PM-4:50 PM, Room 348 | |
| Professor: | Amar Raheja | |
| Voice: | (909) 869 4412 | |
| E-mail: | raheja@csupomona.edu | |
| Office: | Building 8, Room 10 | |
| Office hours: | W 10:00am-12:00pm, Th 10:00pm-12:00pm |
Matlab Primer In pdf
PGM file Info In pdf Fourier Transform In pdf Outline and Introduction to Image Processing Unsampled and Subsampled Digital Image Fundamentals Unsampled and Subsampled Image Enhancement in Spatial Domain-I Unsampled and Subsampled Image Enhancement in Spatial Domain-II Unsampled and Image Enhancement in Spatial Domain-III Unsampled and Subsampled Frequency Domain - FFT Unsampled and Subsampled Frequency Domain Filtering I Unsampled and Subsampled Frequency Domain Filtering II and Image Restoration Unsampled and Subsampled Image Compression- Part 1 Unsampled and Subsampled Image Compression- Part 2 Unsampled and Subsampled Image Compression - Part 3 Unsampled and Subsampled Late assignments are not encouraged. With every day your assignment/project is late, you loose 5% of your assignment grade. If you cannot complete an assignment by the due date, then submit whatever you have completed. For all assignments, partial credit will be given for reasonable partial solutions. I encourage discussion among students, however, I expect that you hand in your original work, i.e. you should write your own program.Co-operative work and assignments will be regarded as academic dishonesty. Please protect your own work against copying. Two students with identical or similar work/codes will be both given an F, irrespective of who did the original work. There will be no make-ups or rescheduling of exams for individual cases. The pattern and content of the exam will be discussed in a regular class session before the exam. I will answer questions about the exam coverage only during a regular class session and not on an individual basis. All exams and quizzes are closed book.
Regular attendance is expected. In the event of an absence, it is the student’s responsibility to learn any material missed. Lectures will not be repeated during office hours. It’s the student’s responsibility to pick up the projects/tests, if not claimed on the return day. Home Work 1: Spatial and Gray-Scale resolution; Due Date: Wednesday, October 10 Home Work 2: Histogram Processing and Spatial Filtering; Due Date: Thursday, October 22 Home Work 3 Image Compression; Due Date: before Dec 2 Final Project Guidelines Due Date: on/before December 1Woods and Gonzalez, Digital Image Processing , Prentice-Hall, ISBN 0-13-168728-X.
Kenneth Castleman, Digital Image Processing, Prentice-Hall, ISBN 0-13-211467-4.
Scott Umbaugh, Computer Vision and Image Processing, Prentice-Hall, ISBN 0-13-264599-8.
Image Processing Book MATLAB IP Toolbox Links to other IP toolbox Xview An image visualization tool Image Magick Another popular image visualization tool Graphics File Formats