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My ICIP 2006 Schedule
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Paper Detail
| Paper: | TP-P8.2 |
| Session: | Multiresolution Processing |
| Time: | Tuesday, October 10, 14:20 - 17:00 |
| Presentation: |
Poster |
| Topic: |
Image & Video Multiresolution Processing: Wavelets |
| Title: |
SUBBAND ADAPTIVE DICTIONARIES FOR WAVELET/MATCHING PURSUITS IMAGE CODING |
| Authors: |
Don Monro; University of Bath | | | | | Wei Huo; University of Bath | | | | | Xiaopeng Wang; University of Bath | | |
| Abstract: |
Different dictionaries of basis functions are applied to the four sub-band types in coding wavelet decomposed images by matching pursuits. A separable dictionary of 2D bases is formed from previously determined 1D bases. Masks are formed to select different dictionary subsets 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. The PSNR of a compressed image increases rapidly towards a peak as bases are added to the masks, and then declines gradually. Over a range of small numbers of bases for any bit rate the PSNR is better than with the full codebook. PSNR values at low bit rates exceed those of JPEG 2000. 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. |
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