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New Bit Reduction Of Vector Quantization Using Block Prediction And Relative Addressing

机译:使用块预测和相对寻址的向量量化新位缩减

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摘要

A low bit rate image coding scheme based on vector quantization is proposed. In this scheme, the block prediction coding and the relative addressing techniques are employed to cut down the required bit rate of vector quantization. In block prediction coding, neighboring encoded blocks are taken to compress the current block if a high degree of similarity between them is existed. In the relative addressing technique, the redundancy among neighboring indices are exploited to reduce the bit rate. From the results, it is shown that the proposed scheme significantly reduces the bit rate of VQ while keeping good image quality of compressed images.
机译:提出了一种基于矢量量化的低比特率图像编码方案。在该方案中,采用块预测编码和相对寻址技术来降低矢量量化所需的比特率。在块预测编码中,如果相邻编码块之间存在高度相似性,则采用它们来压缩当前块。在相对寻址技术中,利用相邻索引之间的冗余来降低比特率。从结果可以看出,提出的方案在保持压缩图像的良好图像质量的同时,显着降低了VQ的比特率。

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