Lossless embedded compression algorithm with context-based error compensation for video application

With the increase of image resolution in video application, the memory bandwidth is a critical problem in video coding. An embedded compression algorithm is a technique that can compress the frame data when stored in memory. It is possible to reduce memory requirements. In this paper, we propose a lossless embedded compression algorithm with context-based error compensation to reduce the memory bandwidth requirement. Experimental results have shown at least 50% memory bandwidth reduction on average and the data reduction ratio of the proposed algorithm is up to 5% higher than previously proposed lossless embedded compression algorithm [2].

I. INTRODUCTION

With the increased spatial and temporal resolutions of recent video applications, memory bandwidth is a key factor in system design consideration. Assuming a typical video coding scenario employing 2 reference frames, a search range of and level-C data reuse scheme [1], the resultant memory bandwidth is as much as 2.4 gigabytes per second for 1080HD@60 progressive video, which incurs a huge increase of system cost, as well as power dissipation by excessive memory accesses.