Research

Subband adaptive dictionaries for wavelet/matching pursuits image coding


Reference:

Monro, D., Huo, W. and Wang, X., 2006. Subband adaptive dictionaries for wavelet/matching pursuits image coding. In: 2006 International Conference on Image Processing. Piscataway, NJ: IEEE Computer Society, pp. 2133-2136.

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Official URL:

http://dx.doi.org/10.1109/ICIP.2006.312830

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

Details

Item Type Book Sections
CreatorsMonro, D., Huo, W. and Wang, X.
DOI10.1109/ICIP.2006.312830
DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
StatusPublished
ID Code27659
Additional Information2006 IEEE International Conference on Image Processing, ICIP 2006. 8-11 October 2006. Atlanta, GA, United States.

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