COMPRESSIVE IMAGING USING APPROXIMATE MESSAGE PASSING AND A CAUCHY PRIOR IN THE WAVELET DOMAIN

被引：0

作者：

Hill, P. R. ^{[1
]}

Kim, J-H. ^{[1
]}

Basarab, A. ^{[2
]}

Kouame, D. ^{[2
]}

Bull, D. R. ^{[1
]}

Achim, A. ^{[1
]}

机构：

[1] Univ Bristol, Dept Elect & Elect Engn, Bristol BS8 1UB, Avon, England

[2] Univ Toulouse, CNRS, IRIT, INPT,UPS,UT1C,UT2J, Toulouse, France

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2016年

基金：

英国工程与自然科学研究理事会;

关键词：

SHRINKAGE;

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：

Approximate Message Passing (AMP) is an iterative reconstruction algorithm that performs signal denoising within a compressive sensing framework. We propose the use of heavy tailed distribution based image denoising, specifically using a Cauchy prior based Maximum A-Posteriori (MAP) estimate within a wavelet based AMP compressive sensing structure. The use of this MAP denoising algorithm provides extremely fast convergence for image based compressive sensing. The proposed method converges approximately twice as fast as the compared AMP methods whilst providing superior final MSE results over a range of measurement rates.

引用

页码：2514 / 2518

页数：5

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