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Variable block wavelet wiener estimator in image denoising

机译:图像去噪中的可变块小波维纳估计

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摘要

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 block size, the LESE and LESEimproved are computed. The block size that gave the minimum LESE is chosen. For that block if LESE is less than LESEimproved then the zero-mean filter is used else the non-zero mean filter is used. The improved filter gave a higher PSNR for all the test images and all the noise variances that we have used.
机译:本文改进了小波域中的维纳滤波器,而没有通常的零均值假设。推导了改进的LESE(局部期望平方误差)公式。对于每个块大小,计算LESE和LESEimproved。选择给出最小LESE的块大小。对于该块,如果LESE小于LESEimproved,则使用零均值滤波器,否则使用非零均值滤波器。改进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。

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