基于定量参数的全零块检测算法

Guoji Song, Xuedong Jiang
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引用次数: 1

摘要

文章采用数学与统计相结合的方法,建立了在不同代价函数和不同量化参数下的全零块阈值预测编码模型。利用该阈值模型提出了一种基于量化参数的全零块检测算法。实验表明,成本函数采用所建立的全零块阈值模型进行早期终止,与Yang算法相比,量化参数较低时,估计性能略有下降,但PSNR平均提高0.05db,当量化参数较高时,估计性能提高10%-18%,PSNR也提高约0.06db。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
All-zero block detection algorithm based on quantitative parameters
Article using a combination of mathematical and statistical methods to establish the predictive coding model of all-zero block threshold under different cost function with different quantization parameter. Use this threshold model presented an all-zero block detection algorithm based on quantization parameters. Experiments show that the cost function using the established model of all-zero block threshold for early termination, and compare with Yang's algorithm when the quantification parameter is low, the estimated performance has drops slightly but PSNR has the average of 0.05db enhancement, when the quantification parameter is high, enhances 10%-18% during the estimated performance, PSNR also enhances approximately 0.06db.
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