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平移不变自适应块阈值图像去噪算法
引用本文:余义斌,郑小奔.平移不变自适应块阈值图像去噪算法[J].五邑大学学报(自然科学版),2012(1):43-48.
作者姓名:余义斌  郑小奔
作者单位:五邑大学信息工程学院,广东江门529020
基金项目:基金项目:国家自然科学基金资助项目(No.61072127,No.61070167);广东省自然科学基金资助项目(10152902001000002.07010869);广东省高等学校高层次人才项目(粤教师函[2010]79号)
摘    要:为有效抑制图像阈值去噪产生的伪吉布斯现象,提出了平移不变自适应块阈值图像去噪算法(ABTTI).即,首先在小波域中将小波系数分成子块,然后利用块平移不变性、块阈值自适应性,并采用本文提出的基于子块能量的自适应阈值方法计算分块阈值.利用3种经典测试图像,与软阈值、块阈值等算法进行对比,结果证明ABTTI算法不仅具有好的去伪影性能,而且可以获得更高的峰值信噪比和计算效率.

关 键 词:自适应块阈值  平移不变性  图像去噪

Adaptive Block Threshold Based on Translation Invariance for Image Denoislng
YU Yi,Bin,ZHENG Xiao-Ben.Adaptive Block Threshold Based on Translation Invariance for Image Denoislng[J].Journal of Wuyi University(Natural Science Edition),2012(1):43-48.
Authors:YU Yi  Bin  ZHENG Xiao-Ben
Institution:(School of Information Engineering, Wuyi University, Jiangmen 529020, China)
Abstract:An Adaptive Block Threshold based on the Translation Invariance (ABTTI) algorithm is proposed for suppressing the pseudo Gibbs phenomenon of denoising effectively. In the wavelet domain, the wavelet coefficients are subdivided into sub-blocks, and then our proposed adaptive threshold method, which is based on sub-block energy, is used to compute every sub-block threshold using the block translation variance and the block threshold adaptability. The ABTTI is compared with other denoising methods, such as Soft Threshold and Block Threshold. Simulation results show that ABTTI not only has good performance in eliminating artifacts but also can achieve higher PSNR and computing efficiency.
Keywords:adaptive block threshold  translation invariant  image denoising
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