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Proceedings Paper

Nonlinear interpolative decoding of standard transform coded images and video
Author(s): Siu-Wai Wu; Allen Gersho
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Paper Abstract

We show that in a standard transform coding scheme of images or video, the decoder can be implemented by a table lookup technique without the explicit use of inverse transformation. In this new decoding method, each received code index of a transform coefficient addresses a particular codebook to fetch a component code vector that resembles the basis vector of the linear transformation. The output image is then reconstructed by summing a small number of non-zero component code vectors. With a set of well designed codebooks, this new decoder can exploit the correlation among the quantized transform coefficients to achieve better rate- distortion performance than the conventional decoding method. An iterative algorithm for designing a set of locally optimal codebooks from a training set of images is presented. We demonstrate that this new idea can be applied to decode improved quality pictures from the bit stream generated from a standard encoding scheme of still images or video, while the complexity is low enough to justify practical implementation.

Paper Details

Date Published: 19 May 1992
PDF: 12 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58318
Show Author Affiliations
Siu-Wai Wu, Univ. of California/Santa Barbara (United States)
Allen Gersho, Univ. of California/Santa Barbara (United States)


Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)

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