A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Transferring color to greyscale images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
Normalized Cuts and Image Segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Segmentation of black and white cartoons
SCCG '03 Proceedings of the 19th spring conference on Computer graphics
Colorization using optimization
ACM SIGGRAPH 2004 Papers
Automatic grayscale image colorization using histogram regression
Pattern Recognition Letters
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In this paper, we present a grey-scale image colorization technique by using local correlation based optimization algorithm. The core of our colorization method is to formalize the colorization problem as minimizing a quadratic cost function under some assumptions that are mainly based on the local image characters. It can be successfully applied in colorization a variety of grey-scale images. In our colorization method, users only need to freely scribble the desired color in the input grey-scale image, which is a great improvement upon the traditional manual colorization techniques. By introducing new local connectivity factor and distance factor, our approach can effectively alleviate the color diffuseness in different regions, which is one of main problem in previous colorization methods. Additionally, by exploiting subsampling in YUV space, we accelerate the colorization process with nearly the same good results. Experiments show that better colorization results can be obtained faster with our method.