@inproceedings{13f45e13f77e423caad6895646902ea2,
title = "Compressed image restoration based on edge enhancement field of experts",
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.",
keywords = "Compression artifacts, Edge enhancement, Fields of experts, Image restoration, Markov random field",
author = "Hong Yu and Feng Jiang and Debin Zhao",
year = "2010",
doi = "10.1117/12.863488",
language = "英语",
isbn = "9780819482341",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Visual Communications and Image Processing 2010",
note = "Visual Communications and Image Processing 2010 ; Conference date: 11-07-2010 Through 14-07-2010",
}