Tri-plane Representation and Analysis in Transform Coding

DOI

10.2991/wiet-13.2013.32How to use a DOI?

Keywords

Tri-plane representation; Bit-plane; prediction coding; Image compression; Transform coefficients

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feifei Zhou
AU  - Rui Yang
AU  - Bo Li
PY  - 2013/12
DA  - 2013/12
TI  - Tri-plane Representation and Analysis in Transform Coding
BT  - Proceedings of the AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
PB  - Atlantis Press
SP  - 139
EP  - 142
SN  - 1951-6851
UR  - https://doi.org/10.2991/wiet-13.2013.32
DO  - 10.2991/wiet-13.2013.32
ID  - Zhou2013/12
ER  -