Abstract
Different dictionaries of basis functions are applied to the four types of sub-bands in coding a wavelet decomposed image by matching pursuits. A dictionary of 2D bases is formed separably from a set of previously determined 1D bases. Four masks are defined which select different subsets of the dictionary for coding LL, HL, LH and HH sub-bands. Masks are found by progressively searching for bases which give the highest PSNR at a desired bit rate. It is found that the PSNR of a compressed image increases rapidly at first as bases are added to the masks. It then declines and oscillates. Over a range of small numbers of bases for any bit rate the PSNR is better than with the full codebook. Using sparse dictionaries adapted to different sub-bands gives low computational cost while maintaining high quality, but shows dependency on the bit rate and the image
Original language | English |
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Title of host publication | 2006 International Conference on Image Processing |
Place of Publication | Piscataway, U. S. A. |
Publisher | IEEE |
Pages | 2133-2136 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2006 |
Event | 2006 IEEE International Conference on Image Processing - Atlanta, USA United States Duration: 8 Oct 2006 → 11 Oct 2006 |
Conference
Conference | 2006 IEEE International Conference on Image Processing |
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Abbreviated title | ICIP 2006 |
Country/Territory | USA United States |
City | Atlanta |
Period | 8/10/06 → 11/10/06 |