Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2016
Session Number:M2-5
Session:
Number:M2-5-2
Granularly-Spatial Lossless Embedded Compression Algorithm on Memory Bandwidth Reduction for Video Codec Applications
Guo-Siang Huang, Yu-Hsuan Lee ,
pp.203-206
Publication Date:2016/7/10
Online ISSN:2188-5079
Summary:
The higher display resolution drives memory bandwidth issue to arise in video codec. The embedded compression (EC) is an efficient algorithm to reduce memory bandwidth. In this paper, a lossless EC using granularly-spatial EC (GSEC) algorithm is proposed. It comprises two core techniques of spatially-finer prediction (SFP) and spatiallyadaptive Golomb-Rice code (SAGRC). The SFP generates the residual for every pixel, and the SAGRC convert each residual to an efficient codeword. The gradient information around current pixel can make a link between SFP and SAGRC to improve coding efficiency. Experiment results reveal that this work can save memory bandwidth by 37% on average without any degradation on visual quality.