6533b7d5fe1ef96bd1263b0f
RESEARCH PRODUCT
Efficient image compression using directionlets
Vladan VelisavljevicMartin VetterliBaltasar Beferull-lozanosubject
Lossless compressionTexture compressionbusiness.industryWavelet transformSet partitioning in hierarchical treesWaveletComputer visionArtificial intelligencebusinessQuantization (image processing)AlgorithmMathematicsData compressionImage compressiondescription
Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms with directional vanishing moments imposed along different directions. We combine the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional wavelet transform. We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art image compression methods, such as 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2007-01-01 | 2007 6th International Conference on Information, Communications & Signal Processing |