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A Fast Encoding Method for Vector Quantization L_1 and L_2 Norms to Narrow Necessary Search

机译:矢量量化L_1和L_2范数的快速编码方法,用于狭窄的必要搜索

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摘要

A fast winner search method based on separating all codewords in the original codebook completely into a promising group and an impossible group is proposed. Group separation is realized by using sorted both L_1 and L_2 norms independently. As a result, the necessary search scope that guarantees full search equivalent PSNR can be limited to the common part of the 2 individual promising groups. The high search efficiency is confirmed by experimental results.
机译:提出了一种基于原始码本中所有码字完全分为有希望组和不可能组的快速获胜者搜索方法。通过单独使用排序的L_1和L_2规范来实现组分离。结果,可以将保证完全搜索等效PSNR的必要搜索范围限制为2个单独的有希望组的公共部分。实验结果证实了较高的搜索效率。

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