基于小波阈值的图像去块滤波评估

Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030) Pub Date : 1999-09-15 DOI:10.1109/TENCON.1999.818489

Y. Rangsanseri, S. Dachasilaruk

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引用次数: 0

摘要

当在高压缩比下使用基于块离散余弦变换(BDCT)的压缩技术时，会出现块性。一种基于小波阈值的减少块化的方法。我们评估了用于这种去块技术的各种类型的小波滤波器。评价标准包括峰值信噪比(PSNR)、边缘方差(EV)和视觉性能。结果表明，在所研究的小波中，Coiflet-5滤波器的去块效果最好。

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Filter evaluation in image deblocking by wavelet thresholding

Blockiness occurs when using compression techniques based a block discrete cosine transform (BDCT) at high compression ratios. An approach for reducing the blockiness is based on wavelet thresholding. We evaluate various types of wavelet filters for use in this deblocking technique. The evaluation criteria used include the peak signal-to-noise ratio (PSNR), edge variance (EV) and visual performance. The results show that, among the wavelets studied, the Coiflet-5 filters give best performance for the deblocking purpose.

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来源期刊

Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030)

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