摘要
本文提出基于MSR的小波图像增强改进算法，选择了合适的小波基将图像进行三层小波分解，对分解后的小波系数和尺度系数分别采用不同的增强算法进行处理。结合各层小波系数的特点，选用改进后的自适应方法和非锐化掩模方法处理。对尺度系数通过MSR算法进行处理，增强了图像的明暗对比度，使图像更加的清晰，色彩更加的鲜明。实验表明，对于一些户外的图像取得了较好的增强效果。
An improved color image enhancement algorithm based on MSR was proposed in this paper. The appropriate wavelet bases were selected to decompose the input image into three levels. Then different enhancement algorithms were employed to process the decomposed wavelet coefficients and scale coefficients. For the wavelet coefficients, after the analyzing of each level＇s characters, a modified adaptive non-sharp mask method was used. For the scale coefficients, the MSR algorithm was used, which improved the image contrast, and make the processed image more clear and colored. The experiments show the proposed algorithm enhanced some outdoors images obviously.
出处
《重庆航天职业技术学院学报》
2009年第1期56-59,共4页
Journal of Chongqing Aerospace Polytechnic
