Simulated annealing and local contrast based anisotropic diffusion method for 1/f noise reduction

Deng Zhang, J. Ryu, T. Nishimura
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Abstract

Anisotropic diffusion based de-noising methods have been demonstrated for the effectiveness on both noise suppression and edge preservation. However, pulse noise liked spots in the de-noised images and threshold selection are two problems of these methods. This paper presents a simulated annealing and local contrast based anisotropic diffusion method for 1/f noise reduction on the pinned-type complementary metal oxide semiconductor image sensors (CMOS image sensors: CIS). Experimental results reveal that the proposed method is an acceptably good solution to the avoidance of the appearance of the pulse noise liked spots in the de-noised images and the threshold selection.
模拟退火和基于局部对比度的各向异性扩散1/f降噪方法
基于各向异性扩散的去噪方法在噪声抑制和边缘保持方面都取得了良好的效果。然而,去噪图像中的类脉冲噪声斑点和阈值选择是这些方法的两个问题。本文提出了一种基于模拟退火和局部对比度的各向异性扩散方法,用于钉接型互补金属氧化物半导体图像传感器(CMOS图像传感器:CIS)的1/f降噪。实验结果表明,该方法能够很好地避免去噪图像中出现类脉冲噪声斑,并能很好地选择阈值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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