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Proceedings Paper

Human vision model for image quality evaluation suitable for smart imager implementation
Author(s): Jaroslav Dusek; Karel Roubík; Martin Bernas
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Paper Abstract

This article deals with image quality evaluation ofthe compressed images especially for compression format JPEG 2000. It shows evaluation of selected test images (scene with: textures, details, text, color of face, etc.) using selected methods: subjective testing as the reference method, objective testing and two designed human vision models. At the end article compares results of these methods.

Paper Details

Date Published: 6 December 2006
PDF: 10 pages
Proc. SPIE 5944, Smart Imagers and Their Application, 59440K (6 December 2006); doi: 10.1117/12.637929
Show Author Affiliations
Jaroslav Dusek, Czech Technical Univ. in Prague (Czech Republic)
Karel Roubík, Czech Technical Univ. in Prague (Czech Republic)
Martin Bernas, Czech Technical Univ. in Prague (Czech Republic)

Published in SPIE Proceedings Vol. 5944:
Smart Imagers and Their Application
Alexander L. Stempkovsky; Victor A. Shilin, Editor(s)

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