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Wavelet-Based Adaptive Vector Quantization for Still-Image Coding

机译:基于小波的自适应矢量量化的静止图像编码

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Wavelet transform coding (WTC) with vector quantization (VQ) has been shown to be efficient in the application of image compression. An adaptive vector quantization coding scheme with the Gold-Washing dynamic codebook-refining mechanism in the wavelet domain, called symmetric wavelet transform-based adaptive vector quantization (SWT-GW-AVQ), is proposed for still-image coding in this article. The experimental results show that the GW code-book-refining mechanism wqrking in the wavelet domain rather than the spatial domain is very efficient, and the SWT-GW-AVQ coding scheme may improve the peak signal-to-noise ratio (PSNR) of the reconstructed images with a lower encoding time.
机译:具有矢量量化(VQ)的小波变换编码(WTC)已被证明在图像压缩的应用中是有效的。针对静止图像编码,本文提出了一种在小波域中采用Gold-Washing动态码本细化机制的自适应矢量量化编码方案,即基于对称小波变换的自适应矢量量化(SWT-GW-AVQ)。实验结果表明,在小波域而非空间域内进行编码的GW码书细化机制是非常有效的,并且SWT-GW-AVQ编码方案可以提高信噪比(PSNR)。以较短的编码时间重建图像。

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