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Intra- and interframe image coding via vector quantization

机译:通过矢量量化进行帧内和帧间图像编码

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Abstract: In this paper, we present two algorithms for intra-and inter-frame image coding via vector quantization (VQ): (1) The intraframe image coding using Wavelet VQ (WVQ): in this case, we carried out several experimental results on the base of a combination between the Wavelet pyramid coding and VQ. (2) The interframe image coding: Here two modifications are proposed; in the first, we identify the moving vectors in each frame using a block matching technique. For each moving vector, a prediction is estimated by searching for the direction of minimum distortion in the previous reconstructed frame. Then the differential vectors are quantized via a simple modified VQ (thresholded VQ) to achieve high compression. The second modification uses moving mask technique to determine the moving object over several successive frames of an image sequence. Then, two codebooks were developed: one for the background vectors (non-moving vectors) and the other for the moving object vectors.!7
机译:摘要:在本文中,我们提出了两种通过矢量量化(VQ)进行帧内和帧间图像编码的算法:(1)使用小波VQ(WVQ)进行帧内图像编码:在这种情况下,我们进行了一些实验结果基于小波金字塔编码和VQ的组合。 (2)帧间图像编码:这里提出两个修改;首先,我们使用块匹配技术识别每帧中的运动矢量。对于每个运动矢量,通过在先前重建的帧中搜索最小失真的方向来估计预测。然后,通过简单的修改后的VQ(阈值VQ)对差分矢量进行量化,以实现高压缩率。第二修改使用移动蒙版技术来确定图像序列的几个连续帧上的移动对象。然后,开发了两种密码本:一种用于背景矢量(非运动矢量),另一种用于运动对象矢量。!7

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