Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Transferring color to greyscale images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Colorization using optimization
ACM SIGGRAPH 2004 Papers
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Extracting depth and matte using a color-filtered aperture
ACM SIGGRAPH Asia 2008 papers
Color Traits Transfer to Grayscale Images
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
Geometrically consistent stereo seam carving
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Anaglyph decomposition using disparity map
ACM SIGGRAPH 2013 Posters
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The anaglyph image, primarily used for red-cyan eyeglasses, has the following flaws: it only reproduces partial colors, often brings retinal rivalry and ghosting to viewers. In this paper, we propose a method for anaglyph image recoloring to enhance the color perception and reduce the visual fatigue. When an anaglyph image is given, a corresponding stereo pair can be derived. The goal of this paper is to restore lost colors of the stereo pair and thus convert the anaglyph into full-color 3D contents. Our main idea is to transfer existing information of the images to each other and we formulate this problem as a labeling problem. We compare our results with the input anaglyph and the results of a naïve color transfer method. Our user study shows that the results from our method improve the viewing experience for anaglyph contents at 95% confidence level, and have less artifacts compared to a naïve color transfer method.