| Paper: | TA-L6.1 |
| Session: | Image Coding II |
| Time: | Tuesday, September 18, 09:50 - 10:10 |
| Presentation: |
Lecture
|
| Title: |
SPACE-FREQUENCY QUANTIZATION USING DIRECTIONLETS |
| Authors: |
Vladan Velisavljevic; Deutsche Telekom Laboratories | | |
| | Baltasar Beferull-Lozano; University of Valencia | | |
| | Martin Vetterli; Ecole Polytechnique Federale de Lausanne (EPFL) | | |
| Abstract: |
In our previous work [1], we proposed a construction of critically sampled perfect reconstruction transforms with directional vanishing moments (DVMs) imposed in the corresponding basis functions along different directions, called directionlets. Here, we combine the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT) and proposed in [2]. We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art compression methods, like SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of computational complexity remains the same, as compared to the complexity of the standard SFQ algorithm. |
