摘要
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.
出处
《吉林大学学报（理学版）》
CAS
CSCD
北大核心
2010年第6期987-994,共8页
Journal of Jilin University:Science Edition
基金
吉林省科技发展计划项目(批准号:20050327_1
20050327_2)
关键词
方向小波变换
高斯噪声
图像恢复
directional wavelet transform
Guass noise
image denoising
