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首页> 外文期刊>Intelligent automation and soft computing >POST-PROCESSING METHOD FOR VECTOR QUANTIZATION TO ACHIEVE A HIGHER PSNR AND NEARLY CONSTANT BIT RATE
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POST-PROCESSING METHOD FOR VECTOR QUANTIZATION TO ACHIEVE A HIGHER PSNR AND NEARLY CONSTANT BIT RATE

机译:矢量量化的后处理方法,以实现更高的PSNR和几乎恒定的比特率

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In a conventional vector quantization (VQ) encoding method, the reachable best PSNR can be realized by full search (FS) equivalent method when codebook is fixed. To achieve even higher PSNR and almost not degraded bit rate, a post-processing method for VQ encoding is proposed in this paper.rnThis method first checks how well the matching is for an image block after conventional VQ by its block PSNR_b. Then it partitions a bad matched image block into 2 partial blocks by a certain pattern (a pair of masks) further and encodes them again just within a small already encoded nearby area. The overall matching can generally be made better due to using 2 smaller partial blocks. Meanwhile bit rate can be kept nearly constant by using 2 shorter winner pointers instead of 2 winner indexes finally. At the receiver, the bad matched image block is synthesized in reverse way to realize a better reconstruction.rnIn the case of low-detailed image Splash, image PSNR can be improved more than 1 dB for 1024 codebook while bit rate has almost not degraded.
机译:在传统的矢量量化(VQ)编码方法中,当固定码本时,可以通过完全搜索(FS)等效方法实现可达到的最佳PSNR。为了获得更高的PSNR且几乎不降低比特率,本文提出了一种VQ编码的后处理方法。该方法首先通过图像块PSNR_b来检查常规VQ之后图像块的匹配程度。然后,它将某个匹配不好的图像块按某种模式(一对蒙版)进一步划分为2个部分块,并仅在一个已编码的较小邻近区域内再次对其进行编码。由于使用2个较小的部分块,总体匹配度通常可以提高。同时,通过使用2个较短的获胜者指针而不是2个获胜者索引,可以使比特率几乎保持恒定。在接收器处,不良匹配的图像块以相反的方式合成,以实现更好的重建。在低细节图像飞溅的情况下,对于1024码本,图像PSNR可以提高超过1 dB,而比特率却几乎没有下降。

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