基于多小波变换非线性自适应增益的图像增强

随着多小波理论的发展，它所拥有的对称性、光滑性、紧支性、正交性等重要的数学性质弥补了单小波的不足．提出了一种基于多小波变换非线性自适应增益的图像增强算法，将图像进行多小波分解，高频细节图像采用多尺度非线性自适应增益增强．低频平滑图像采用反锐化掩模增强．实验结果表明：该算法能突出图像中的细节部分，可以有效地消除噪声，并且具有良好的增强效果．

Non-linear adaptive gain algorithm to image enhancing based on multiwavelet transform

Multiwavelet has some very important mathematical properties in comparison to the with development of the multiwavelet theory, such as symmetry, smoothness, short support, and which can make up for the shortcoming of scalar wavelet. A non-linear adaptive gain algorithm scalar wavelet orthogonality, to image enhancing was proposed, which based on multiwavelet transform, the sub-image with high frequency was enhanced with the multi-scale non-linear function, and the unsharp masking method was used to enhance the sub-image with low frequency. The experimental results show that the proposed algorithm could enhance the details of image, the abilities of image de-noise and the image enhancement is effective.