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Proceedings Paper

Comparison of optimal adaptive and nonadaptive transform coding under a lapped orthogonal projection
Author(s): Robert D. Dony
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Paper Abstract

A number of novel adaptive image compression methods have been developed using a new approach to data representation, a mixture of principal components (MPC). MPC, together with principal component analysis (PCA) and vector quantization (VQ), form a spectrum of representations. The MPC approach still suffers from block effect distortion. While existing lapped transforms eliminate this distortion, they not take into account the need for adaptation on a block-to-block basis. Further, the basis vectors are fixed so they cannot be adapted in any optimal fashion from one image to another. In this paper, a lapped orthogonal projection is used to generate subblocks for both the classic Karhunen-Loeve transform (KLT) and the adaptive MPC. The resulting images are free of block effect distortion. Further, the squared error can be reduced. Therefore, both the nonadaptive and adaptive methods under the projection tend to outperform the respective block methods both in terms of subjective criteria and squared error.

Paper Details

Date Published: 6 April 1998
PDF: 10 pages
Proc. SPIE 3304, Nonlinear Image Processing IX, (6 April 1998); doi: 10.1117/12.304611
Show Author Affiliations
Robert D. Dony, Univ. of Guelph (Canada)


Published in SPIE Proceedings Vol. 3304:
Nonlinear Image Processing IX
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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