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Proceedings Paper

Color image dequantization by constrained diffusion
Author(s): Daniel Keysers; Christoph H. Lampert; Thomas M. Breuel
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Paper Abstract

We propose a simple and effective method for the dequantization of color images, effectively interpolating the colors from quantized levels to a continuous range of brightness values. The method is designed to be applied to images that either have undergone a manipulation like image brightness adjustment, or are going to be processed in such a way. Such operations often cause noticeable color bands in the images that can be reduced using the proposed Constrained Diffusion technique. We demonstrate the advantages of our method using synthetic and real life images as examples. We also present quantitative results using 8 bit data that has been obtained from original 12 bit sensor data and obtain substantial gains in PSNR using the proposed method.

Paper Details

Date Published: 16 January 2006
PDF: 10 pages
Proc. SPIE 6058, Color Imaging XI: Processing, Hardcopy, and Applications, 605803 (16 January 2006); doi: 10.1117/12.648713
Show Author Affiliations
Daniel Keysers, German Research Ctr. for Artificial Intelligence GmbH (Germany)
Technical Univ. of Kaiserslautern (Germany)
Christoph H. Lampert, German Research Ctr. for Artificial Intelligence GmbH (Germany)
Technical Univ. of Kaiserslautern (Germany)
Thomas M. Breuel, German Research Ctr. for Artificial Intelligence GmbH (Germany)
Technical Univ. of Kaiserslautern (Germany)


Published in SPIE Proceedings Vol. 6058:
Color Imaging XI: Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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