Proceedings of the AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)

Tri-plane Representation and Analysis in Transform Coding

Authors
Feifei Zhou, Rui Yang, Bo Li
Corresponding Author
Feifei Zhou
Available Online December 2013.
DOI
https://doi.org/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.
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Proceedings
AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2013
ISBN
978-90786-77-95-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/wiet-13.2013.32How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/wiet-13.2013.32
DO  - https://doi.org/10.2991/wiet-13.2013.32
ID  - Zhou2013/12
ER  -