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    • 26-Issue 3
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    • 26-Issue 3
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    Image Dequantization: Restoration of Quantized Colors

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    Date
    2007
    Author
    Kim, Tae-hoon
    Ahn, Jongwoo
    Choi, Min Gyu
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    Abstract
    Color 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.
    BibTeX
    @article {10.1111:j.1467-8659.2007.01085.x,
    journal = {Computer Graphics Forum},
    title = {{Image Dequantization: Restoration of Quantized Colors}},
    author = {Kim, Tae-hoon and Ahn, Jongwoo and Choi, Min Gyu},
    year = {2007},
    publisher = {The Eurographics Association and Blackwell Publishing Ltd},
    ISSN = {1467-8659},
    DOI = {10.1111/j.1467-8659.2007.01085.x}
    }
    URI
    http://dx.doi.org/10.1111/j.1467-8659.2007.01085.x
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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