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Proceedings Paper

Assessment of image coding by information theory
Author(s): Zia-ur Rahman; Carl L. Fales; Friedrich O. Huck
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Paper Abstract

The task of image coding is to improve the efficiency of visual communication channels. This entails minimizing the amount of data required to transmit the information about the radiance field. We assess this task in the context of visual communication channel design including image gathering, coding, and Wiener restoration which results in channel designs with significantly improved performance. Conventional assessments are limited to the digital transmission channel beginning at the output of the image-gathering device and ending at the input to the image-display device. Our end-to-end assessment, in addition, incorporates these two devices. This assessment combines Shannon's communication theory with Wiener's restoration filter and with the critical design factors of the image gathering and display devices. This provides the metrics needed to quantify and optimize the end-to-end performance of the visual communication channel. The results are described.

Paper Details

Date Published: 24 June 1994
PDF: 13 pages
Proc. SPIE 2239, Visual Information Processing III, (24 June 1994); doi: 10.1117/12.179290
Show Author Affiliations
Zia-ur Rahman, Science and Technology Corp. (United States)
Carl L. Fales, NASA Langley Research Ctr. (United States)
Friedrich O. Huck, NASA Langley Research Ctr. (United States)


Published in SPIE Proceedings Vol. 2239:
Visual Information Processing III
Friedrich O. Huck; Richard D. Juday, Editor(s)

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