Deblocking of Compressed Images Based on All Phase Biorthogonal Transform Using Noise Injection Followed by Image Denoising

被引：0

作者：

Wang, Cheng-You ^{[1
]}

Hou, Zheng-Xin ^{[1
]}

Zhao, Sai-Yuan ^{[1
]}

机构：

[1] Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China

来源：

ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS | 2008年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Block-based transform coding is the most popular image compression method However, when image is highly compressed at low bit rate, noticeable blocking artifacts produce in the decoded images. Various techniques have been proposed for the reduction of blocking artifacts. This paper presents a new deblocking algorithm based on the all phase biorthogonal transform using noise injection followed by image denoising for further performance improvement. Experimental results show that better performance is achieved than the conventional algorithm in terms of PSNR and visual quality due to blocking artifacts have been reduced greatly.

引用

页码：1162 / 1165

页数：4

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