Image Processing for Computer Graphics
Course Level:
The Course is part of the graduate program on Computer Graphics maintained by IMPA and PUC-Rio. It is a regular course for the master program, and it is also recommendend for first year graduate students of the program.
Pre-requisites:
- Knowledge of Algorithm & Programming (C, C++, Java, etc.);- Linear Algebra and Calculus;
- Basic knowledge about graphics and image;
Topics Covered:
- Signal Processing Basics- Continuous and Discrete Fourier Transform
- Shannon Sampling Theory
- Color Fundamentals
- Digital Image
- Image Representation and Reconstruction
- Color and Image quantization
- Image Compression Basics
- Operations with images
- Image filtering
- Image Sampling and Reconstruction
Additional Topics:
These topics are in general covered in short seminars, with the students, in the final part of the course:
- Digital halftoning
- Image Matting
- Image Warping and Morphing
- Image segmentation and tracking
- Image based rendering
Bibliography:
The course covers chapters 1 to 7 of the book- J. Gomes & L. Velho, Image Processing for Computer Graphics, Springer-Verlag, 1997.
The book site contains additional material about the topics covered on the course, as well as, exercises for each of the chapters.
Additional references for the course :
- A. Rosenfeld & A. Kak, Digital Picture Processing (two volumes). Academic Press. G. Wolberg, Digital Image Warping. IEEE Press.
Current offering of this course
Projects of previous offerings
Besides the regular course exercises and tests, the course evaluation uses the student seminars based on additional topics, and a final project. This link contains additional Information and material of some of the courses that we have already taught.1997 : "Impressionist Filtering"