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小波阈值算法在图像去噪中的应用

he Wavelet Thresholding Algorithm In Image Denoising

中文摘要英文摘要

本文研究了基于小波分析的图像去噪技术问题,通过选择合适的小波基,对二维图像进行小波分解,然后通过阈值量化处理,进而对图像进行重构。并将得到的恢复图像与均值滤波、中值滤波去噪方法得到的图像进行质量评价。实验结果表明,小波变换与其他的恢复方法相比,有较好的恢复效果。

his paper mainly studies on the image denoising technology based on the wavelet threshold algorithm, by selecting the appropriate wavelet, the two-dimensional images are decomposed by the wavelet, and then quantify the threshold, the images are reconstructed then. After the recovery, quality assessment is carried on between the wavelet algorithm and mean filtering and median filtering. The outcome of the experiment indicates that the wavelet thresholding algorithm has better recovery effect than other ways.

刘晶晶

电子技术应用

小波阈值去噪均值滤波中值滤波

Wavelet Thresholding DenoisingMean Filtering RecoveryMedian Filtering Recovery

刘晶晶.小波阈值算法在图像去噪中的应用[EB/OL].(2010-03-05)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/201003-174.点此复制

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