Basic Course Info

Description

The principles of source coding for the efficient storage and transmission of still and moving images. Discrete Cosine Transform. Wavelet image coding. Interframe coding. Motion compensation and motion estimation. Emphasis is on rate distortion analysis and optimization of image and video coding schemes. Standards: JPEG, JPEG-2000, MPEG-1, MPEG-2, MPEG-4, H.261, H.263, H.264. Students investigate image and video compression algorithms in Matlab or C. Course is a condensed version of 398A/B sequence.

Prerequisites

EE261 and EE278

Detailed Course Info

Topics

• Entropy and lossless coding techniques
• Run-length coding, fax standards
• Arithmetic coding
• Rate-distortion limits and quantization
• Lossless and lossy predictive coding
• Transform coding, JPEG standard
• Subband coding, wavelets, JPEG-2000
• Motion compensated coding, MPEG standards

Homework

• 7 problem sets, require computer + Matlab
• Handed out Tuesdays, due one week later, 2:15 p.m.

Grading

• Homeworks: 50%
• Term project: 50%
• No mid-term, no final

Late Homework Policy

• 0-24 hours subtract 10% 
• 24-48 hours subtract 25%
• 48-72 hours subtract 50%
• after 72 hours subtract 100%

Projects

• Work in groups of 2-3 students, 40-50 hours per person
• Project selection deadline: February 7
• Class-room presentations of projects: March 11/13
• Project report due: March 13
• Project grade based on:
  • Technical quality, significance, and originality of results 50%
  • Project report 25%
  • Class-room presentation 25%

Textbook

Recommended text books:

• D. S. Taubman, M. W. Marcellin, "JPEG2000 – Image Compression Fundamentals, Standards, and Practice," Kluwer Academic Publishers, 2002.
• Y. Wang, J. Ostermann, Y.-Q. Zhang, "Video Processing and Communications," Prentice-Hall, 2002.