Regularized reconstruction to remove blocking artifacts from block discrete cosine transform compressed images

Yongyi Yang, Nikolas P. Galatsanos, Aggelos K Katsaggelos

Research output: Contribution to journalConference article

Abstract

In most block-transform based codecs (coder-decoder) the compressed image is reconstructed using only the transmitted data. In this paper, the reconstruction is formulated as a regularized image recovery problem where both the transmitted data and prior knowledge about the properties of the original image are used. This is accomplished by minimizing an objective function, using iterative algorithms, which captures the smoothness properties of the original image. Experimental results are presented which demonstrate that the proposed regularized algorithms yield reconstructed images with superior quality, both visually and using objective distance metrics, to that of traditional decoders that use only the transmitted transform coefficients.

Original languageEnglish (US)
Pages (from-to)511-521
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2094
DOIs
StatePublished - Dec 1 1993
EventVisual Communications and Image Processing 1993 - Cambridge, MA, United States
Duration: Nov 7 1993Nov 7 1993

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

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