基于模糊划分的曲波和小波去噪算法

Naizhang Feng, Liyong Ma, Yi Shen
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引用次数: 5

摘要

为了获得高质量的结果图像,近年来提出了曲波去噪方法。但采用曲波去噪方法后,结果图像中经常出现伪影。提出了一种基于模糊分割的消噪算法,利用曲线结果图像和基于隐马尔可夫树的小波去噪方法抑制伪影。对图像支持进行模糊分割后,对模糊窗口的局部属性进行估计。对曲线和小波结果图像进行融合,由局部属性决定图像的权重。实验结果表明,该算法有效地提高了结果图像的视觉质量,并明显抑制了结果图像中的伪影。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Partition Based Curvelets and Wavelets Denoise Algorithm
Curvelets denoise approach has been proposed to obtain high quality result images recently. But artifacts often appear in the result images after applying curvelets denoise approach. A fuzzy partition based denoise algorithm was proposed to suppress the artifacts employing result images of curvelets and hidden Markov tree based wavelets denoise approaches. After fuzzy partition was applied to the image support, the local properties of the fuzzy windows were estimated. Image fusion was applied to the curvelets and wavelets result images where the weights were decided by the local properties. Experimental results demonstrated that the algorithm improved the visual quality of result images efficiently and suppressed the artifacts in result images evidently.
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