Fast algorithm based on the probability of intra prediction mode decision

Yazhong Wang, Jiming Lan
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Abstract

Intra prediction coding is mainly to eliminate the correlation of the spatial domain. Firstly the article introduces the traditional intra prediction algorithm. And then according to the correlation between the most likely patterns and best mode, It draws a pattern matrix. By the advantage of this mode matrix for early termination, it can improve the efficiency of intra prediction 9%-15% in the condition of image quality without the decline. If it allows certain decline in video quality, by the use of compact mode matrix, the judgment process of the model can be further reduced. The experiments show that, by the use of compact mode matrix, the computer performance can get an improvement about 33%-48% when the PSNR declines about 0.03db.
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基于概率内预测模式决策的快速算法
帧内预测编码主要是为了消除空间域的相关性。本文首先介绍了传统的图像内预测算法。然后根据最可能模式和最佳模式之间的相关性,绘制出一个模式矩阵。利用该模式矩阵的提前终止优势,在保证图像质量不下降的情况下,可将图像内预测效率提高9% ~ 15%。如果允许视频质量有一定的下降,通过使用紧凑模式矩阵,可以进一步减少模型的判断过程。实验表明,在PSNR下降0.03db左右的情况下,采用紧凑模态矩阵可使计算机性能提高33% ~ 48%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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