基于方向小波变换的高斯噪声图像恢复方法

Gauss Noise Image Recovering Method Based on Directional Wavelet Transform

提出一种基于方向小波变换的相关和阈值去噪方法,恢复高斯噪声图像.方向小波去掉了标准二维小波变换仅沿水平和竖直两个方向的限制,可沿任意方向变换,这种多方向组合变换方法有利于削弱Gibbs效应,对去噪后图像的边界保护具有积极作用.实验结果表明,相对于标准小波变换,该方法无论是PSNR值还是视觉效果都较原有的方法更好.

A correlation and threshold denoising method based on the directional wavelet transform was proposed in order to restore the images which were contaminated by the Gaussian noises. The directional wavelet breakthroughs the restriction of the standard 2D wavelet transforms only along horizontal and vertical directions, can transform along auy directions. Not only does it weaken the Gibbs effect, but it can protect image edges. The experiment results show our method has better performances than the denoising method based on the standard wavelet in both PSNR and visual effects.