ICIP 2006, Atlanta, GA

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Paper Detail

Session:Multiresolution Processing
Time:Tuesday, October 10, 14:20 - 17:00
Presentation: Poster
Topic: Image & Video Multiresolution Processing: Wavelets
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.