Tri-plane Representation and Analysis in Transform Coding
Feifei Zhou, Rui Yang, Bo Li
Available Online December 2013.
- https://doi.org/10.2991/wiet-13.2013.32How to use a DOI?
- Tri-plane representation; Bit-plane; prediction coding; Image compression; Transform coefficients
- 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.
- 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 SP - 139 EP - 142 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 -