使用静态小波变换增强与降噪真彩图像

Real Color Image Enhanced and Denoised by Stationary Wavelet Transform

由于几乎所有真彩图像都不同程度含有噪声,并且含有阴影和明亮光源的图像的动态范围超过了多数电子设备和人眼的感受区域,这就要求真彩图像被增强的同时还能够对噪声进行抑制。因此,在分析了噪声在HSV色彩空间分布的基础上,根据静态小波变换解释的入射-反射模型,提出了一种能够同时增强与降噪真彩图像的方法。实验表明,本方法在明显增强真彩图像的同时,还可以有效抑制图像中的噪声。

Because all real color images contain noise in different degree and the high dynamic range of some real color images with dark shadows and bright light sources exceeds the range of most electronic capturing devices and human eyes senseing, real color images should be enhance and denoised at the same time. Based on the analysis of noise in H, S, V channel and a new illumination-reflectance model described by stationary wavelet transform（SWT）, a new method which can enhance and denoise real color images simultaneous was put forward. Experiments show that the color images are enhanced obviously and the noise is efficiently restrained at one time.