31 October 2016 An improved NAS-RIF algorithm for image restoration
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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.
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Weizhe Gao, Weizhe Gao, Jianhua Zou, Jianhua Zou, Rong Xu, Rong Xu, Changhai Liu, Changhai Liu, Hengnian Li, Hengnian Li, } "An improved NAS-RIF algorithm for image restoration", Proc. SPIE 10021, Optical Design and Testing VII, 1002112 (31 October 2016); doi: 10.1117/12.2245337; https://doi.org/10.1117/12.2245337
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