Abstract
Converting color images into grayscale ones suffer from information loss. In the meantime, it is one fundamental tool indispensable for single channel image processing, digital printing, and monotone e-ink display given color inputs. In this paper, we propose an optimization framework aiming at maximally preserving color contrast. Our main contribution is threefold. First, we propose a novel framework employing a bimodal objective function to alleviate the restrictive order constraint for color mapping. Second, we develop an efficient solver that allows for automatic selection of suitable grayscales based on global contrast constraints. Third, we advocate a perceptual-based metric to measure contrast loss, as well as content preservation, in the produced grayscale images. It is among the first attempts in this field to quantitatively evaluate decolorization results.
Downloads
"Contrast Preserving Decolorization with Perception-Based Quality Metrics" Cewu Lu, Li Xu, Jiaya Jia International Journal of Computer Vision (IJCV), 2014 [Paper (pdf, 5MB)] [Metric Code (CCPR, CCFR and E-score)] [COLOR250 Dataset (181MB)] |
"Contrast Preserving Decolorization" Cewu Lu, Li Xu, Jiaya Jia IEEE International Conference on Computational Photography (ICCP), 2012 [Paper (pdf, 4.9MB)] [Matlab Code (zip, 500k)] (upon request) [Presentation Slides] |
Printing Effect
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HP Printed Picture |
Printed picture using our technique |
Kindle Display Effect
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Kindle display |
Kindle display using our technique |
More Examples and Comparisons
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Photoshop CS5 |
IrfanView |
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IrfanView |
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Photoshop CS5 |
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Ours |
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Photoshop CS5 |
IrfanView |
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Photoshop CS5 |
IrfanView |
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IrfanView |
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Photoshop CS5 |
IrfanView |
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