Compressed image restoration based on edge enhancement field of experts

Hong Yu; Feng Jiang; Debin Zhao

doi:10.1117/12.863488

5 August 2010 Compressed image restoration based on edge enhancement field of experts

Hong Yu, Feng Jiang, Debin Zhao

Proceedings Volume 7744, Visual Communications and Image Processing 2010; 774431 (2010) https://doi.org/10.1117/12.863488
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China

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.

Citation Download Citation

Hong Yu, Feng Jiang, and Debin Zhao "Compressed image restoration based on edge enhancement field of experts", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 774431 (5 August 2010); https://doi.org/10.1117/12.863488

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