Color Image Dequantization by Constrained Diffusion

Daniel Keysers; Christoph Lampert; Thomas Breuel

In: SPIE Electronic Imaging 2006. SPIE Human Vision and Electronic Imaging, San Jose, Pages 03.01-03.10, Vol. 6058, SPIE, CA, 1/2006.


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.

DkChlTmbColorImDequantization.pdf (pdf, 8 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence