Remote sensing image restoration based on compressive sensing and two-step iteration shrinkage algorithm

Mingyi He; Weihua Liu; Lin Bai

doi:10.1117/12.863151

24 August 2010 Remote sensing image restoration based on compressive sensing and two-step iteration shrinkage algorithm

Mingyi He, Weihua Liu, Lin Bai

Proceedings Volume 7810, Satellite Data Compression, Communications, and Processing VI; 78100E (2010) https://doi.org/10.1117/12.863151
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

This paper proposes a new regularization algorithm combining the wavelet-based and contourlet-based regularization items based on the Compressive Sensing (CS) theorem. The new algorithm aims at gaining maximum benefit by combining the multiscale and multiresolution properties common to both wavelet and contourlet schemes, while simultaneously incorporating their individual properties of point singularity and line singularity respectively. CS is applied to remote sensing image deblurring. It has great practical significance due to saving the hardware cost and aiding fast transmission. Experimental results show the method achieves improvement in peak-signal-noise-ratio and correlation function as compared to traditional regularization algorithms.

Citation Download Citation

Mingyi He, Weihua Liu, and Lin Bai "Remote sensing image restoration based on compressive sensing and two-step iteration shrinkage algorithm", Proc. SPIE 7810, Satellite Data Compression, Communications, and Processing VI, 78100E (24 August 2010); https://doi.org/10.1117/12.863151

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available