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Proceedings Paper

Regularized edge-preserving subband coding scheme
Author(s): Sung Wai Hong; Paul Bao
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Paper Abstract

In this paper, we introduce a new approach for edge preserving image compression technique based on the wavelet transform and iterative constrained least square regularization approach. This approach treats image reconstructed from lossy image compression as the process of image restoration. It utilizes the edge information detected from the source image as a priori knowledge for the subsequent reconstruction In order to compromise the overall bit rate incurred by the additional edge information, a simple vector quantization scheme is proposed to classify the edge bit-planes pattern into a number of binary codevectors. The experiment showed that the proposed approach could definitely prove both objective and subjective quality of the reconstructed image by recovering more image details and edges.

Paper Details

Date Published: 28 December 1998
PDF: 10 pages
Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334682
Show Author Affiliations
Sung Wai Hong, Hong Kong Polytechnic Univ. (Hong Kong)
Paul Bao, Hong Kong Polytechnic Univ. (Hong Kong)

Published in SPIE Proceedings Vol. 3653:
Visual Communications and Image Processing '99
Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang, Editor(s)

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