Compressed video enhancement algorithm

Chun Jen Tsai*, Passant Karunaratne, Nikolas P. Galatsanos, Aggelos K Katsaggelos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations


The problem of the enhancement of a low bit-rate compressed video sequence using the information provided by the encoder is investigated in this paper. The proposed algorithm is spatio-temporally adaptive and enforces different degrees of between-block, within-block, and temporal smoothness of the decompressed frames based on macroblock types. The algorithm uses the projections onto the sets that capture the information conveyed by the transmitted data to constrain the solution space. A partially automatic regularization parameter estimation algorithm is also proposed in this paper. An analysis of PSNR gain per macroblock type is presented to cast insight into the compressed video enhancement problem. The experimental results demonstrate the effectiveness of the proposed approach.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Number of pages5
StatePublished - Dec 1 1999
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: Oct 24 1999Oct 28 1999


OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering


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