A Video-Coding Quantization Scheme for an Embedded System

Shimei Su, Bing Zhou, Xingjin Zhang
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Abstract

The traditional MPEG quantization process leads to a low efficiency for the video compression, owing to lacking of a division component inside the general embedded processors. In order to solve this problem, a new scheme of quantization is proposed in this paper. According to the traits of the general embedded processors, an optimal quantization matrix is constructed, which realizes one-step quantization by substituting shift-operations for division-operations. Meanwhile, this scheme uses different quantization strategies in terms of the differences between the video blocks to be coded, and reduces the image quality loss caused by the unified quantization. Experiments show that this scheme can not only obviously improve the efficiency of quantization, but subjective and objective quality of coded images as well.
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一种嵌入式系统视频编码量化方案
传统的MPEG量化处理由于在一般的嵌入式处理器内部缺少分割组件,导致视频压缩效率较低。为了解决这一问题,本文提出了一种新的量化方案。根据通用嵌入式处理器的特点,构造最优量化矩阵,用移位运算代替除法运算实现一步量化。同时,该方案根据待编码视频块之间的差异采用不同的量化策略,减少了统一量化带来的图像质量损失。实验表明,该方案不仅能明显提高量化效率,还能提高编码图像的主客观质量。
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