Image Dequantization: Restoration of Quantized Colors

dc.contributor.authorKim, Tae-hoonen_US
dc.contributor.authorAhn, Jongwooen_US
dc.contributor.authorChoi, Min Gyuen_US
dc.description.abstractColor quantization replaces the color of each pixel with the closest representative color, and thus it makes the resulting image partitioned into uniformly-colored regions. As a consequence, continuous, detailed variations of color over the corresponding regions in the original image are lost through color quantization. In this paper, we present a novel blind scheme for restoring such variations from a color-quantized input image without a priori knowledge of the quantization method. Our scheme identifies which pairs of uniformly-colored regions in the input image should have continuous variations of color in the resulting image. Then, such regions are seamlessly stitched through optimization while preserving the closest representative colors. The user can optionally indicate which regions should be separated or stitched by scribbling constraint brushes across the regions. We demonstrate the effectiveness of our approach through diverse examples, such as photographs, cartoons, and artistic illustrations.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleImage Dequantization: Restoration of Quantized Colorsen_US