基于中值滤波和Contourlet变换的图像去噪研究OACSTPCD
Research on image denoising based on median filter and contourlet transform
针对图像中同时含有脉冲噪声和高斯噪声的情况,提出了一种中值滤波和Contourlet变换相结合的图像去噪方法,首先用中值滤波检测出脉冲噪声的噪声点并加以处理,然后用Contourlet变换对高斯噪声进行处理.实验结果表明,此方法不仅能有效地滤除脉冲和高斯的混合噪声,提高去噪后图像的PSNR值,而且可以很好地保留图像的细节信息,改善视觉效果.
For the image containing both impulse noise and Gaussian noise, this paper presented a image denoising method which combined median filter with contourlet transform. The noise point of impulse noise was detected and processed with median filter; the Gaussian noise was processed with contourlet transform. Experimental results showed that the method not only could remove mixed impulse and Gaussian noise effectively, but also could get higher PSNR value and bet…查看全部>>
李万臣;赵开伟
哈尔滨工程大学信息与通信工程学院,哈尔滨,150001哈尔滨工程大学信息与通信工程学院,哈尔滨,150001
信息技术与安全科学
Contourlet变换图像去噪中值滤波混合噪声
contourlet transform image denoising median filter mixed noise
《哈尔滨商业大学学报（自然科学版）》 2011 (2)
211-214,4
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