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Proceedings Paper

Improved delta modulation algorithm for image coding
Author(s): Tian-Hu Yu; Sanjit K. Mitra
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Paper Abstract

In a delta modulation (DM) system, the difference between two consecutive pixel intensities is coded by an one-bit quantizer. The performance of a basic DM system depends only on two quantities: sampling rate and quantization step size. In order to reach low bit-rate while preserving the decoded image quality, these two quantities have to be designed carefully. The performance of the DM system can be improved by using a delayed coding scheme and/or adapting the step size. However, such a DM system becomes so complex that it loses the advantage of simplicity. In this paper, we propose a modified DM algorithm to keep the advantage of simplicity while improving the performance of the DM system. Based on the characteristics of the human visual system, we introduce a nonlinear DM scheme by adapting a relative step size, in which the Robert's pseudo-noise technique is employed to make the proposed system stable. In addition, we show that the proposed system with a 2D predictor improves the subjective quality of the decoded image.

Paper Details

Date Published: 16 September 1994
PDF: 10 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185901
Show Author Affiliations
Tian-Hu Yu, Chinese Univ. of Hong Kong (Hong Kong)
Sanjit K. Mitra, Univ. of California/Santa Barbara (United States)


Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)

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