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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/12830

Title: Enhancing by Saliency-guided Decolorization
Authors: ANCUTI, Codruta
ANCUTI, Cosmin
BEKAERT, Philippe
Issue Date: 2011
Publisher: IEEE
Citation: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), p. 257-264
Abstract: This paper introduces an effective decolorization algorithm that preserves the appearance of the original color image. Guided by the original saliency, the method blends the luminance and the chrominance information in order to conserve the initial color disparity while enhancing the chromatic contrast. As a result, our straightforward fusing strategy generates a new spatial distribution that discriminates better the illuminated areas and color features. Since we do not employ quantization or a per-pixel optimization (computationally expensive), the algorithm has a linear runtime, and depending on the image resolution it could be used in real-time applications. Extensive experiments and a comprehensive evaluation against existing state-of-the-art methods demonstrate the potential of our grayscale operator. Furthermore, since the method accurately preserves the finest details while enhancing the chromatic contrast, the utility and versatility of our operator have been proved for several other challenging applications such as video decolorization, detail enhancement, single image dehazing and segmentation under different illuminants.
Notes: [Ancuti, CO; Ancuti, C; Bekaert, P] Hasselt Univ tUL IBBT, Expertise Ctr Digital Media, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/12830
DOI: 10.1109/CVPR.2011.5995414
ISI #: 000295615800034
ISBN: 978-1-4577-0394-2
ISSN: 1063-6919
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2012
Appears in Collections: Research publications

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