Improved Prediction Via Thresholding Transform Coefficients

2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)(2018)

引用 24|浏览37
暂无评分
摘要
This paper presents a thresholding method for processing the predicted samples in the state-of-the-art High Efficiency Video Coding (HEVC) standard. The method applies an integer-based approximation of the discrete cosine transform to an extended prediction block and sets transform coefficients beneath a certain threshold to zero. Transforming back into the sample domain yields the improved prediction signal. The method is incorporated into a software implementation that is conforming to the HEVC standard and applies to both intra and inter predictions. Consequently, bit-rate savings ranging from 2.3% to 8.0% have been measured in terms of the Bjøntegaard-Delta bit rate (BD-rate).
更多
查看译文
关键词
High Efficiency Video Coding (HEVC), Prediction, Discrete Cosine Transform (DCT), Thresholding, Sparse Regularization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要