改进的小波维纳估计在图像去噪中的应用

I. Dagher, C. Taleb
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引用次数: 0

摘要

图像去噪涉及对图像数据的处理,以产生视觉上高质量的图像。本文改进了小波域的维纳滤波器,去掉了通常的零均值假设。推导了一种改进的局部期望平方误差(LESE)公式。对于每个小波块,通过比较常规维纳滤波和改进维纳滤波给出的LESE估计中心系数。选择它们之间的最小值。改进后的滤波器为所有测试图像和我们使用的所有噪声方差提供了更高的PSNR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved wavelet wiener estimator in image denoising
Image denoising involves the manipulation of the image data to produce a visually high quality image. This paper improves the Wiener filter in the wavelet domain without the usual zero mean assumption. An improved LESE (local expected square error) formula is derived. For each wavelet block, the center coefficient is estimated by comparing the LESE given by the usual Wiener filter and the improved LESE. The minimum between them is chosen. The improved filter gave a higher PSNR for all the test images and all the noise variances that we have used.
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