L-Shape-Based Iterative Prediction and Residual Median Edge Detection (LIP-RMED) Algorithm for VVC Intra-Frame Lossless Compression

被引：4

作者：

Weng, Xiaoyu ^{[1
]}

Lin, Min ^{[1
]}

Lin, Qinghao ^{[1
]}

Chen, Guojie ^{[1
]}

机构：

[1] Shanghai Univ, Adv SoC & IoT Technol Lab ASITLAB, Key Lab Specialty Fiber Opt & Opt Access Networks, Shanghai 200444, Peoples R China

来源：

IEEE SIGNAL PROCESSING LETTERS | 2022年 / 29卷

关键词：

Versatile video coding; intra-prediction; lossless coding; iterative prediction; median edge detection; LIP-RMED; HEVC;

D O I：

10.1109/LSP.2022.3170828

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Versatile Video Coding (VVC) is the latest video coding standard beyond High Efficiency Video Coding (HEVC), offering higher compression efficiency. The algorithm in this letter called L-shape-based iterative prediction and residual median edge detection (LIP-RMED) divides each block into a series of close neighboring 1-D inverted L-shapes. They are employed as reference samples in the subsequent recursively L-shape prediction. Because of the inherited close neighboring characteristics of L-shapes, LIP can achieve much more accurate prediction results. To further maximize the efficiency of our prediction method, this letter also proposes a residual median edge detection (RMED) method, which allows a second process over the residual that still possesses rich edge information. Experimental results on VVC Test Model (VTM) 12.3 show that our proposed merge method is able to achieve 5.43% average bit-rate savings, with a maximum of 13.67% bit-rate savings on VVC intra-frame lossless compression.

引用

页码：1227 / 1231

页数：5