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Proceedings Paper

Regularized dequantizers for DCT-based transform coding of images
Author(s): Gunho Lee; Sinae Kim; Samuel Moon-Ho Song
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Paper Abstract

We have recently proposed a new dequantization scheme for DCT- based transform coding based on regularization principles. The new approach sharply reduced blocking artifacts in decoded images and the performance of the new dequantization scheme has been evaluated against the standard JPEG, MPEG and H.263+ in terms of the peak-signal-to-noise ratio (PSNR) with our own definition of the blockiness measure (BM). Basically, the proposed dequantizer maps the received data to within the range +/- (quantizer spacing/2), so that the final decompressed image is 'smooth' in the sense of minimizing the cost functional including the stabilizing term weighted by a regularization parameter. In this paper, we focus on several important aspect of this regularized dequantizer, namely the selection of the regularization parameter and the convergence of the dequantization algorithm.

Paper Details

Date Published: 29 December 2000
PDF: 8 pages
Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); doi: 10.1117/12.411864
Show Author Affiliations
Gunho Lee, Korea Univ. (South Korea)
Sinae Kim, Korea Univ. (South Korea)
Samuel Moon-Ho Song, Korea Univ. (South Korea)

Published in SPIE Proceedings Vol. 4310:
Visual Communications and Image Processing 2001
Bernd Girod; Charles A. Bouman; Eckehard G. Steinbach, Editor(s)

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