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Indexed by:会议论文

Date of Publication:2015-01-01

Included Journals:CPCI-S

Key Words:Image enhancement; Gaussian noise; random value impulse noise; low rank; low light

Abstract:This paper aims to improve the quality of images in low light conditions. After nonlinear intensity stretching, the enlarged mixed noise is reduced using a newly proposed low rank denoising algorithm. By similar patch stacking, the established noisy matrices are assumed to be composed of low-rank noise free image, sparse random impulse noise and zero-mean Gaussian noise. Minimizing the rank of the matrices, the mixed noise can be reduced efficiently. Comparative experiments on synthetic and real data are used to verify the algorithm's performance.