Approaches for the restoration of compressed video

C. Andrew Segall*, Aggelos K. Katsaggelos

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations


We consider the restoration of an image sequence that is blurred before compression. This describes many modern imaging systems that filter an image sequence during acquisition and then compress the result. It also describes the common scenario of pre-processing an image sequence with a digital filter prior to compression. No matter the source of degradation though, we seek to recover the high-frequency information without amplifying compression artifacts. The Bayesian framework is employed, and we present recovery algorithms that correspond to two common models for compression noise. Simulations then illustrate the efficacy of both techniques for the restoration of compressed video. Qualitative and quantitative results are presented.

Original languageEnglish (US)
Number of pages4
StatePublished - 2003
EventProceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain
Duration: Sep 14 2003Sep 17 2003


OtherProceedings: 2003 International Conference on Image Processing, ICIP-2003

ASJC Scopus subject areas

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


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