基于多尺度小波的图像增强算法

Image enhancement algorithm based on multi-scale wavelet

提出了一种基于多尺度小波的图像增强算法。首先对图像做小波分层,利用散布矩阵对分层后的图像提取更丰富的局部结构信息,最后对每一个子图像进行局部直方图均衡化,就可将这些子图像合成为一个完整的输出图像。实验结果表明该方法的增强效果明显优于传统的直方图均衡化方法,既提高了图像的整体对比度又突出了图像的局部细节,同时还抑制了噪声。

This paper proposes a image enhancement algorithm based on multi scale wavelet.Handling the image with wavelet stratification,then using scatter matrix for stratified image to extract more abundant local structural information,last,doing image local histogram equalization to each sub image,all can help recieve a complete output image.The experimental results show that the enhancement the effect of the method is obviously superior to the traditional histogram equalization method,which not only increases overall image contrast and prominent local image details,but also restrains noise.