计算机与现代化Issue(1)：27-31,5.DOI:10.3969/j.issn.1006-2475.2014.01.007
低照度图像增强算法
Algorithm of Low Illumination Image Enhancement
摘要
Abstract
According to the multi-scale Retinex algorithm ( MSR ) defect images peak at low SNR , this paper puts forward a method of noise suppression in low luminance region according to the theory of Retinex , the characteristics of illumination and re-flection components , the two respectively by different nonlinear functions to adjust , to enhance the image contrast and enhance image detail .The experimental results show that , in HSV and RGB color space , after using this algorithm in low light , uneven il-lumination image case , the peak signal to noise ratio and the image contrast are higher than that of MSR algorithm , and the pro-cessing speed is faster than MSR algorithm .关键词
Retinex/峰值信噪比/噪声抑制/彩色空间Key words
Retinex/peak signal-to-noise ratio/noise suppression/color space分类
信息技术与安全科学引用本文复制引用
王闻博,穆向阳,汤楠..低照度图像增强算法[J].计算机与现代化,2014,(1):27-31,5.基金项目
陕西省自然科学基础研究计划项目（2010JQ8033）；陕西省教育厅专项科研计划项目（08jk411）；西安市科技计划项目 （）
