A Compressive Sensing Approach to Perceptual Image Coding

被引：0

作者：

Pickering, Mark R. ^{[1
]}

You, Junyong ^{[2
]}

Ebrahimi, Touradj ^{[2
,3
]}

Perkis, Andrew ^{[2
]}

机构：

[1] Univ New S Wales, Australian Def Force Acad, Sch Engn & Informat Technol, Canberra, ACT, Australia

[2] Norwegian Univ Sci & Technol, Ctr Quantifiable Qual Serv, Trondheim, Norway

[3] Ecole Polytech Fed Lausanne, Inst Elect Engn, Lausanne, Switzerland

来源：

APPLICATIONS OF DIGITAL IMAGE PROCESSING XXXIII | 2010年 / 7798卷

关键词：

perceptual coding; JPEG2000; compressive sensing; ADAPTIVE QUANTIZATION;

D O I：

10.1117/12.863466

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

There exist limitations in the human visual system (HVS) which allow images and video to be reconstructed using fewer bits for the same perceived image quality. In this paper we will review the basis of spatial masking at edges and show a new method for generating a just-noticeable distortion (JND) threshold. This JND threshold is then used in a spatial noise shaping algorithm using a compressive sensing technique to provide a perceptual coding approach for JPEG2000 coding of images. Results of subjective tests show that the new spatial noise shaping framework can provide significant savings in bit-rate compared to the standard approach. The algorithm also allows much more precise control of distortion than existing spatial domain techniques and is fully compliant with part 1 of the JPEG2000 standard.

引用

页数：11

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