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.
- Knowledge of Algorithm & Programming (C, C++, Java, etc.);
- Linear Algebra and Calculus;
- Basic knowledge about graphics and image;
- 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
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
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
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.
2000 : Project page
1998 : "Image Mosaics"
1998 : "Query by Image"
1997 : "Impressionist Filtering"
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