Share Email Print

Proceedings Paper

An improved NAS-RIF algorithm for image restoration
Author(s): Weizhe Gao; Jianhua Zou; Rong Xu; Changhai Liu; Hengnian Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Space optical images are inevitably degraded by atmospheric turbulence, error of the optical system and motion. In order to get the true image, a novel nonnegativity and support constants recursive inverse filtering (NAS-RIF) algorithm is proposed to restore the degraded image. Firstly,the image noise is weaken by Contourlet denoising algorithm. Secondly, the reliable object support region estimation is used to accelerate the algorithm convergence. We introduce the optimal threshold segmentation technology to improve the object support region. Finally, an object construction limit and the logarithm function are added to enhance algorithm stability. Experimental results demonstrate that, the proposed algorithm can increase the PSNR, and improve the quality of the restored images. The convergence speed of the proposed algorithm is faster than that of the original NAS-RIF algorithm.

Paper Details

Date Published: 31 October 2016
PDF: 7 pages
Proc. SPIE 10021, Optical Design and Testing VII, 1002112 (31 October 2016); doi: 10.1117/12.2245337
Show Author Affiliations
Weizhe Gao, Xi'an Jiaotong Univ. (China)
Jianhua Zou, Xi'an Jiaotong Univ. (China)
Guangdong Shunde Xi (China)
Rong Xu, Xi'an Satellite Control Ctr. (China)
Changhai Liu, Xi'an Satellite Control Ctr. (China)
Hengnian Li, Xi'an Satellite Control Ctr. (China)

Published in SPIE Proceedings Vol. 10021:
Optical Design and Testing VII
Yongtian Wang; Tina E. Kidger; Kimio Tatsuno, Editor(s)

© SPIE. Terms of Use
Back to Top