基于小波变换的图像增强新算法

传统的小波增强算法应用于光照不足或不均匀的图像时处理效果一般,针对该问题提出了基于小波变换的图像增强新算法。首先,对图像进行多级小波分解,得到尺度系数和多个层次的小波系数;然后,对不同层次的小波系数采用不同的增强算法进行处理,同时,对图像的尺度系数采用多尺度方法进行处理;最后,利用得到的小波系数和尺度系数进行小波逆变换。实验表明,该方法无论是增强效果还是抗噪性能都明显优于传统的图像增强算法,同时对光照不足或不均匀的图像具有较好的处理效果。

New algorithm of image enhancement based on wavelet transform

Traditional wavelet-based algorithm has a common effect on the images of light nonuniformity and scarcity. Aiming at the shortcoming, a new wavelet-based algorithm for image enhancement was proposed. The image was first decomposed into multi-level wavelet to obtain the scaling coefficients and the multi-level wavelet coefficients. Then, every level of wavelet coefficients was enhanced by different algorithms, and the scaling coefficients were processed by MSR(Multiscale Retinex). Finally, the image of enhancement was obtained via the inverse wavelet transform. Experiments show that the algorithm excels conventional algorithms in the effect of enhancement and the abatement of noise, at the same time, it has an excellent effect on the images of light nonuniformity and scarcity.