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融合联合亮度与对比度处理的低照度图像增强算法

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本文提出了一种融合联合亮度与对比度处理的低照度图像增强算法,旨在解决传统低照度增强算法中存在的照明不均匀亮度低,对比度差,图像细节信息丢失等问题.首先引入了同态滤波去除噪声;其次将经过同态滤波处理后的低照度图像进行分开处理,对于子图像1进行了从RGB空间转换为HSV空间,并对V通道进行联合亮度增强;对子图像2进行了限制对比度自适应直方图均衡处理;最后将子图像1和子图像2进行加权融合得到最终的增强图像.应用主观评价和客观评价指标进行多种算法的对比,实验结果表明,所提算法具有明显的优越性,相较于其他对比算法能更好地提高低照度图像的质量和视觉效果.
Low-light Image Enhancement by Combining Brightness and Contrast Processing
In this paper,a low-light image enhancement by combining brightness and contrast processing algorithm is proposed to solve low uneven brightness,poor contrast and loss of image details problems.Firstly,homomorphic filtering is introduced to remove noise.Secondly,the homomorphic filtering image is processed separately,and the sub-image 1 is converted from RGB to HSV,and the V-channel is enhanced jointly.The limited contrast adaptive histogram equalization process is carried out for sub-image 2.Finally,sub-image 1 and sub-image 2 are weighted to get the final enhanced image.The experimental results show that the proposed algorithm has obvious advantages and can improve the quality and visual effect of low-light image better than other algorithms.

Image fusionLow-light imageImage enhancementRetinex algorithm

孙艺、张宝菊、张博、张翠萍、隋晓楚、褚博华、薛梦奇、张亚蒙、姜凯

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天津师范大学电子与通信工程学院,天津 300387

图像融合 低照度图像 图像增强 Retinex算法

2024

软件
中国电子学会 天津电子学会

软件

影响因子:1.51
ISSN:1003-6970
年,卷(期):2024.45(10)