Projection-based spatially adaptive reconstruction of block transform compressed images

Yongyi Yang*, Nikolas P. Galatsanos, Aggelos K. Katsaggelos

*Corresponding author for this work

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

6 Scopus citations


In conventional block-transform coding, the compressed images are decoded using only the transmitted transform data. In this paper, we formulate image decoding as an image recovery problem. According to this approach, the decoded image is reconstructed using not only the transmitted data, but in addition, the prior knowledge that images before compression do not display blocking artifacts. A spatially-adaptive image recovery algorithm is proposed based on the theory of projections onto convex sets. Numerical experiments demonstrate that the proposed algorithm yields images superior to those from both the JPEG deblocking recommendation and a projection-based image decoding approach.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Number of pages12
Editionp 3
ISBN (Print)081941638X
StatePublished - Dec 1 1994
EventVisual Communications and Image Processing '94 - Chicago, IL, USA
Duration: Sep 25 1994Sep 29 1994


OtherVisual Communications and Image Processing '94
CityChicago, IL, USA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics


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