Because multimedia data (in particular image and video) require efficient compression techniques in order to be stored and delivered, image and video compression is a crucial element of an effective communication system.
This course covers the most popular lossless and lossy formats, introduces the key techniques used in source coding, as well as appropriate objective/subjective metrics for visual quality evaluation.
Teaching and Learning Methods: Each class includes a problem session for students to practice the material learned. This course includes a limited number of lab session hours.
Course Policies: It is mandatory to attend lab. sessions.
- Standard codecs: Image compression to advanced video coding Ghanbari, Mohammed Institution of Electrical Engineers (IEE) - 06/2003 - 430 p.
- Compression et codage des images et des vidéos Barlaud, Michel and Labit, Claude Hermes.
It would be good if you already have some knowledge about signal/image processing and Matlab, but it is not mandatory.
The course covers the following techniques, standards and metrics:
- Entropic coding, Huffman Coding
- Run Length Encoding
- Dictionary data based compression
- Predictive Coding
- Discrete Cosine Transform
- Vector Quantization
- GIF, JPEG, JPEG2000
- H.26x, MPEG-x (1, 2, 4); HEVC.
- RMSE, PSNR
- wPSNR, SSIM
Learning outcomes :
Become familiar with major image and video formats.
Nb hours: 21.00 including 3 problem session.
Grading Policy: Final Exam (100 %)