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基于Contourlet域HMT模型的Cycle Spinning去噪方法

Cycle Spinning denoising method based on HMT model in Contourlet domain
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摘要 为了提高图像去噪效果,提出了基于Contourlet域HMT模型的Cycle Spinning去噪方法。首先将待去噪图像进行循环平移,使用Contourlet域HMT模型对平移后的图像进行降噪处理,然后将降噪后的图像进行循环反平移,最后将不同循环平移量下的降噪图像进行平均处理,以减少去噪后图像的失真。实验结果表明,该方法不仅可以提高降噪后图像峰值信噪比,而且可以提高降噪后图像的视觉效果。 In order to enhance image denoising ability,cycle spinning denoising method based on HMT model in Contourlet domain is presented in this paper.The image is first cycle shifted and denoised based on Contourlet HMT model,and then reverse shifted.Finally,average the denoised image in different shifted magnitude to reduce distortion.Experimental results show that the method outperforms the Contourlet domain HMT-based denoising method,in both visual quality and the PSNR values.
出处 《电子设计工程》 2012年第14期146-148,共3页 Electronic Design Engineering
基金 国家863项目资助(2011AA7895014)
关键词 图像去噪 峰值信噪比 CONTOURLET变换 隐马尔可夫模型 image denoising PSNR Contourlet HMT
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