MetadataShow full item record
AbstractThe authors combined the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT). 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.
CitationVelisavljevic, V., Beferull-Lozano, B. and Vetterli, M. (2007) 'Space-frequency quantization using directionlets', IEEE International Conference on Image Processing (ICIP 2007), San Antonio, Texas USA, 16 September - 19 October. San Antonio: IEEE, vol.3, pp.161-164.
TypeConference papers, meetings and proceedings