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

DOI:10.34385/proc.61.M2-5-2

PDF download (969.2KB)

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.