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Proceedings Paper

Compressed image restoration based on edge enhancement field of experts
Author(s): Hong Yu; Feng Jiang; Debin Zhao
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Paper Abstract

Images encoded at low bit rate may suffer from blocking artifacts, which dramatically degrade the visual quality. In this paper, we propose a postprocessing image restoration scheme for JPEG compressed images based on the maximum a posteriori criterion. A degradation model, represent by additive Gaussian noise model, is proposed to simulate JPEG compression process, while the original image is modeled as a high order Markov random field (MRF) based on the fields of experts framework. Meanwhile, an enhancement algorithm is proposed to restore the high frequency (HF) components. Experiment results have demonstrated that the proposed scheme can reproduce higher-quality images in terms of both objective and subjective quality.

Paper Details

Date Published: 5 August 2010
PDF: 10 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 774431 (5 August 2010); doi: 10.1117/12.863488
Show Author Affiliations
Hong Yu, Harbin Institute of Technology (China)
Feng Jiang, Harbin Institute of Technology (China)
Debin Zhao, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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