Subband adaptive dictionaries for wavelet/matching pursuits image coding

D. M. Monro, W. Huo, X. Wang

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

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 languageEnglish
Title of host publication2006 International Conference on Image Processing
Place of PublicationPiscataway, U. S. A.
PublisherIEEE
Pages2133-2136
Number of pages4
DOIs
Publication statusPublished - 2006
Event2006 IEEE International Conference on Image Processing - Atlanta, USA United States
Duration: 8 Oct 200611 Oct 2006

Conference

Conference2006 IEEE International Conference on Image Processing
Abbreviated titleICIP 2006
CountryUSA United States
CityAtlanta
Period8/10/0611/10/06

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  • Cite this

    Monro, D. M., Huo, W., & Wang, X. (2006). Subband adaptive dictionaries for wavelet/matching pursuits image coding. In 2006 International Conference on Image Processing (pp. 2133-2136). IEEE. https://doi.org/10.1109/ICIP.2006.312830