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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 943-947
V. DeBrunner , Sch. of Electr. Eng., Oklahoma Univ., Norman, OK, USA
Lixiang Chen , Sch. of Electr. Eng., Oklahoma Univ., Norman, OK, USA
Hongjian Li , Sch. of Electr. Eng., Oklahoma Univ., Norman, OK, USA
ABSTRACT
We describe a system for still image compression which uses several lapped orthogonal transform (LOT) sets in a multiple bases realization algorithm, the recursive residual projection (RRP) algorithm. Newly developed RRP algorithms are shown to reduce the number of encoded transform coefficients 20% beyond the DCT-only compression standard, JPEG. These algorithms still suffer from the problem of block-discontinuities at the boundaries of the segmented image. We extend these algorithms to use several newly developed LOT bases. Fast hardware implementations of these algorithms are presented.<>
INDEX TERMS
transform coding, image coding, data compression, recursive functions, image segmentation, block codes, discrete cosine transforms
CITATION

V. DeBrunner, Lixiang Chen and Hongjian Li, "Lapped multiple bases realizations for the transform coding of still images," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 943-947.
doi:10.1109/ACSSC.1994.471599
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