摘要
为了改善图像增强效果,提高图像质量,提出一种基于小波分析和Retinex算法的图像增强算法(WA-Retinex).先采用小波分析对图像进行多尺度分解,去除图像中的噪声;再采用Retinex算法对图像细节信息进行增强,并引入更符合人眼视觉特性的拟合函数拓宽图像灰度范围;最后通过仿真实验对其有效性和优越性进行分析.实验结果表明,该算法明显改善了图像的整体视觉效果,能更好地刻画图像细节信息,性能优于现有的一些经典Retinex算法.
In order to improve the image enhancement effect and image quality,we proposed an image enhancement algorithm based on wavelet analysis and Retinex algorithm（WA-Retinex）.Firstly,wavelet analysis was used to decompose the image and remove the noise of the image.Secondly,Retinex algorithm was used to enhance the details of the image information and the gray scale of the image was widened by using fitting function which was more consistent with the visual characteristics of the human eyes.Finally,the validity and superiority of the algorithm were analyzed by simulation experiments.Experimental results show that the overall visual effect of proposed algorithm has been significantly improved,which can better describe the details of the image information,and the performance is better than some of the existing classic Retinex algorithm.
出处
《吉林大学学报（理学版）》
CAS
CSCD
北大核心
2016年第3期592-596,共5页
Journal of Jilin University:Science Edition
基金
国家自然科学基金(批准号:51479159)
