 |
Technical Program
Paper Detail
| Paper: | TP-L6.1 |
| Session: | Soft Computing in Image Processing: Recent Advances |
| Time: | Tuesday, October 10, 14:20 - 14:40 |
| Presentation: |
Special Session Lecture
|
| Title: |
MAX-PLUS ALGEBRA BASED WAVELET TRANSFORM AND ITS APPLICATION TO VIDEO COMPRESSION/RECONSTRUCTION |
| Authors: |
Hajime Nobuhara; Tokyo Institute of Technology | | | | | Kaoru Hirota; Tokyo Instutite of Technology | | | | | Barnabas Bede; Budapest Tech | | |
| Abstract: |
A wavelet transformation based on max-plus algebra is proposed, where analysis and synthesis operations are defined by max (or min) and standard sum and they treat with 9 channel representation of multi resolution images. The proposed wavelets especially can reserve edge information on compressed images due to the non-linear operations (max and min); therefore, they are efficient for predictive frames used in video compression and reconstruction. Through video compression and reconstruction experiments using standard motion database, it is confirmed that effectiveness of the proposed wavelets. |
|
