Color image dequantization by constrained diffusion

Daniel Keysers; Christoph H. Lampert; Thomas M. Breuel

doi:10.1117/12.648713

16 January 2006 Color image dequantization by constrained diffusion

Daniel Keysers, Christoph H. Lampert, Thomas M. Breuel

Proceedings Volume 6058, Color Imaging XI: Processing, Hardcopy, and Applications; 605803 (2006) https://doi.org/10.1117/12.648713
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

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.

Citation Download Citation

Daniel Keysers, Christoph H. Lampert, and Thomas M. Breuel "Color image dequantization by constrained diffusion", Proc. SPIE 6058, Color Imaging XI: Processing, Hardcopy, and Applications, 605803 (16 January 2006); https://doi.org/10.1117/12.648713

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