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Minimization of the mosaic effect in hierarchical multirate vector quantization for image coding

机译:图像编码分层多速率矢量量化中的镶嵌效应最小化

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In this paper, we propose an image coding method, which basically consist on the application of Vector Quantization and appropriate post- processing in order to minimize the mosaic effect. We have to store a monographic image data base. We use a Hierarchical Multirate Vector Quantization to codify the data base in a low bit rate and tolerable SNR. HMVQ is a suitable algorithm in order to separate different contrast blocks in each image. This division provides as a reconstruction selective filtering to minimize the mosaic effect. Each block will be filtered according to its characteristics. The gap between contiguous blocks is minimized with low contrast subimages. At the same time, edge blocks will maintain image details.
机译:在本文中,我们提出了一种图像编码方法,该方法基本上包括矢量量化的应用和适当的后处理,以便最小化马赛克效应。我们必须存储一个单引相图像数据库。我们使用分层多速率向量量化以以低比特率和可容忍的SNR编码数据库。 HMVQ是一种合适的算法,以便在每个图像中分离不同的对比度块。该司提供作为重建选择性滤波,以最大限度地减少马赛克效应。每个块将根据其特性过滤。连续块之间的间隙最小化,用低对比度子镜。同时,边缘块将保持图像细节。

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