Tri-plane Representation and Analysis in Transform Coding
Representation and coding of transform coefficients is a key factor in image compression. In this work, we introduce a coefficient representation model, called tri-plane. The proposed method is able to bring more kinds of symbols and significance states, which deeply develops the correlations among transform coefficients. By utilizing new symbols and states, more precise classification can be achieved, which directly determines the prediction coding performance. Experimental results show that tri-plane representation outperforms the traditional bit-plane form in entropy, which removes more redundancy among coefficients and obtains more potential to improve coding efficiency. We hope this work would motivate more research and application work along this direction.
Tri-plane representation bit-plane prediction coding image compression transform coefficients
Zhou Feifei Yang Rui Li Bo
Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing, 100191, China
国际会议
2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)
南昌
英文
376-379
2010-09-17（万方平台首次上网日期，不代表论文的发表时间）