A Wiener filter improvement combining wavelet domains

12th International Conference on Image Analysis and Processing, 2003.Proceedings. Pub Date : 2003-09-17 DOI:10.1109/ICIAP.2003.1234102

V. Bruni, D. Vitulano

引用次数: 13

Abstract

An improvement of an interesting approach for denoising in the wavelet domain using an empirical Wiener filter (Choi, H. and Baraniuk, R., Proc. IEEE-SP Int. Symp. on Time-frequency and Time-scale Anal., 1998) is presented. It is based on a well-balanced matching of selection and attenuation performances using more than one wavelet basis. Experimental results are better than other wavelet-Wiener based techniques, both in terms of objective (signal-to-noise ratio, SNR) and subjective quality, requiring a moderate computing time.

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结合小波域的改进维纳滤波器

利用经验维纳滤波器对小波域去噪的有趣方法进行改进(Choi, H.和Baraniuk, R.， Proc. IEEE-SP Int.)。计算机协会。时间-频率和时间尺度。， 1998)。它基于使用多个小波基的选择和衰减性能的良好平衡匹配。实验结果在客观(信噪比，SNR)和主观质量方面都优于其他基于小波维纳的技术，需要适度的计算时间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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12th International Conference on Image Analysis and Processing, 2003.Proceedings.

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