A new image distortion measure based on a data-driven multisensor organization-Reference-Cited by-同舟云学术

A new image distortion measure based on a data-driven multisensor organization

Published:1998-08 Issue:8 Volume:31 Page:1099-1116
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Martinez-Baena J.,Fdez-Valdivia J.,Garcia J.A.,Fdez-Vidal Xose R.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference47 articles.

1. J. Kominek, Still image compression an issue of quality”, available from University of Waterloo, Waterloo, Ontario, Canada, Department of Computer Science. http://links.uwaterloo.ca/pub/Fractals/Papers/Waterloo/kominek94b.ps.gz, electronic edn (1994).

2. C. Shannon, The mathematical theory of communication, Bell Syst. Tech. J. 27, 379–423; 623–656 (1948).

3. Quantizing for minimum distortion;Max;IEEE Trans. Inform Theory,1960

4. Visual fidelity criterion and modelling;Budrikis;IEEE Proc,1972

5. Quantitative fidelity criterion for image processing applications;Carl;SPIE Proc,1987

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