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Conference papers

Patch-based Image Colorization

Abstract : Image colorization consists in adding colors to grayscale images. Two approaches are mainly used: the first one consists in using manually pre-defined color inputs while the second consider an entire colored image as color example to transfer. The work presented here is in the second category. Indeed, we propose a simple patch-based image colorization based on an input image as a color example. First, we introduce a general colorization model in which many methods of literature can be casted within this framework. Second, we describe our method which is based on patch descriptors of luminance features and a color prediction model with a general distance selection strategy. We also propose to perform a Total Variation (TV) regularization on the colorized image to ensure the spatial color coherency of the final result. Finally, experiments show the potential- ity of our proposition in order to automatically colorize grayscale images. Comparisons with methods from the literature are also provided
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Submitted on : Sunday, December 23, 2012 - 6:46:25 PM
Last modification on : Saturday, June 25, 2022 - 10:33:01 AM
Long-term archiving on: : Thursday, December 15, 2016 - 3:37:46 PM


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  • HAL Id : hal-00708969, version 1



Aurélie Bugeau, Vinh-Thong Ta. Patch-based Image Colorization. International Conference on Pattern Recognition, 2012, Tsukuba, Japan. ⟨hal-00708969⟩



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