JPEG stream soft-decoding technique based on autoregressive modeling

作     者：NIU Yi SHI Guang-ming WANG Xiao-tian WANG Li-zhi GAO Da-hua NIU Yi;SHI Guang-ming;WANG Xiao-tian;WANG Li-zhi;GAO Da-hua

作者机构：School of Electronic Engineering Xidian University Xi'an 710071 China ECE McMaster University Hamilton L8S 4KI Canada School of Science Air Force Engineering University Xi'an 710051 China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2012年第19卷第5期

页      面：115-123页

核心收录：

学科分类：11[军事学] 080904[工学-电磁场与微波技术] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 110503[军事学-军事通信学] 0810[工学-信息与通信工程] 1105[军事学-军队指挥学] 1104[军事学-战术学] 082601[工学-武器系统与运用工程] 081105[工学-导航、制导与控制] 0826[工学-兵器科学与技术] 081001[工学-通信与信息系统] 0835[工学-软件工程] 081002[工学-信号与信息处理] 0811[工学-控制科学与工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(61033004 61070138 61072104 61003148) 

主　　题：image deblocking autoregressive modeling constrained optimization total least squares bilateral weighting 

摘      要：This paper introduces a new model-based soft decoding techniqt, e to restore the widely used joint photographic expert group （JPEG） streams. The image is modeled as a two dimensional （2D） piecewise stationary autoregressive process, and the decoding task is formulated as a constrained optimization problem. All the constraints are given by the quantization intervals which available at the decoder freely. The autoregressive model serves as an important regularization term of the objective function of the optimization, and the model parameters are solved on the decoded image locally using a weighted total least square method. In addition, a novel bilateral dualside weighting scheme is proposed to minimize the influence of the blocking artifact on the accuracy of parameter estimation. Extensive experimental results suggest that the proposed algorithm systematically improves the quality of JPEG images and also outperforms existing JPEG postprocessing algorithms in a wide bit-rate range both in terms of peak signal-to-noise ratio （PSNR） and subjective quality