Abstract
Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms with directional vanishing moments (DVMs) imposed along different directions. Here, we combine the directionlets with the spacefrequency 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 stateof-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.Citation
Velisavljevic, V., Beferull-Lozano, B. and Vetterli, M. (2007) 'Efficient zerotree-based image compression with directionlets', 15th European Signal Processing Conference (EUSIPCO-2007), Poznan, Poland, 3-7 September. Poznan: EURASIP, pp.807-811.Publisher
EURASIPAdditional Links
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2007/Papers/b1l-f01.pdfhttp://www.eurasip.org/Proceedings/Eusipco/Eusipco2007/start.pdf