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Proceedings Paper

Perceptually optimized pyramid coding for efficient progressive image transmission
Author(s): Chun-Hsien Chou
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Paper Abstract

The progressive transmission of digital images is an important field of interactive image communications over low-bandwidth channels. An effective progressive transmission system should be able to build up images with highest possible fidelity at every stage of transmission, so that a viewer can respond to the received image as quickly as possible. In this paper, a perceptually tuned progressive image transmission scheme based on removing just-noticeable distortion (JND) from the image in pyramid form is presented. The JND profile is derived from the analysis of local properties of image signals. According to the sensitivity of human visual perception to spatial frequency, a distortion allocation algorithm is developed to find the associated JND profile of each pyramid level to sift out perceptually significant signals and determining their quantizer stepsizes. Simulation results show that images reconstructed by the proposed coding schemes can be perceptually more pleasing than those reconstructed by the JPEG progressive decoder at earlier stages of transmission.

Paper Details

Date Published: 21 November 1995
PDF: 11 pages
Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); doi: 10.1117/12.227236
Show Author Affiliations
Chun-Hsien Chou, Tatung Institute of Technology (Taiwan)

Published in SPIE Proceedings Vol. 2606:
Digital Image Storage and Archiving Systems
C.-C. Jay Kuo, Editor(s)

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