Basic Course Info

Description

Principles and systems for digital image communication, emphasizing source coding for efficient storage and transmission of still and moving images. Fundamentals and still image communication techniques. Lossless coding principles. Arithmetic coding, run-length coding. Facsimile coding. Lossy compression principles, scalar quantization, vector quantization. Lossless and predictive coding. Transform coding. Multiresolution coding, subband coding, and wavelets. EZW and SPIHT coding. Embedded image representations. Standards: ITU-T T.4, T.6, JBIG, JPEG, JPEG-2000. Students investigate image compression algorithms in Matlab.

Prerequisites

EE261 and EE278, or equivalent

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

Grading

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

Homework

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

Late Homework Policy

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

Projects

• Range of project topics proposed by instructors
• Work in groups of 2-3 students, 40-50 hours per person
• Project grade based on:
  • Technical quality, significance, and originality of results 50%
  • Project report 25%
  • Class-room presentation 25%
• Project selection deadline: February 8
• Classroom presentations of projects: March 13 and 15
• Project report due: March 15

Textbook

D. S. Taubman, M. W. Marcellin, "JPEG2000 – Image Compression Fundamentals, Standards, and Practice," Kluwer Academic Publishers, 2002. (recommended)