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Due to the low accuracy of object detection and recognition in manyintelligent surveillance systems at nighttime, the quality of night images iscrucial. Compared with the corresponding daytime image, nighttime image ischaracterized as low brightness, low contrast and high noise. In this paper, abio-inspired image enhancement algorithm is proposed to convert a lowilluminance image to a brighter and clear one. Different from existingbio-inspired algorithm, the proposed method doesn't use any training sequences,we depend on a novel chain of contrast enhancement and denoising algorithmswithout using any forms of recursive functions. Our method can largely improvethe brightness and contrast of night images, besides, suppress noise. Then weimplement on real experiment, and simulation experiment to test our algorithms.Both results show the advantages of proposed algorithm over contrast pair,Meylan and Retinex.

Bio-Inspired Night Image Enhancement Based on Contrast Enhancement and Denoising