The art and science of digital compositing
The art and science of digital compositing
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
ACM SIGGRAPH 2003 Papers
Interactive digital photomontage
ACM SIGGRAPH 2004 Papers
Color2Gray: salience-preserving color removal
ACM SIGGRAPH 2005 Papers
Decolorize: Fast, contrast enhancing, color to grayscale conversion
Pattern Recognition
Edge-preserving decompositions for multi-scale tone and detail manipulation
ACM SIGGRAPH 2008 papers
Dynamic range independent image quality assessment
ACM SIGGRAPH 2008 papers
Edge-preserving multiscale image decomposition based on local extrema
ACM SIGGRAPH Asia 2009 papers
Robust color-to-gray via nonlinear global mapping
ACM SIGGRAPH Asia 2009 papers
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
Multispectral image visualization through first-order fusion
IEEE Transactions on Image Processing
Color to gray and back: color embedding into textured gray images
IEEE Transactions on Image Processing
An efficient perception-based adaptive color to gray transformation
Computational Aesthetics'07 Proceedings of the Third Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Grey conversion via perceived-contrast
The Visual Computer: International Journal of Computer Graphics
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In this paper we present a novel decolorization strategy, based on image fusion principles. We show that by defining proper inputs and weight maps, our fusion-based strategy can yield accurate decolorized images, in which the original discriminability and appearance of the color images are well preserved. Aside from the independent R,G,B channels, we also employ an additional input channel that conserves color contrast, based on the Helmholtz-Kohlrausch effect. We use three different weight maps in order to control saliency, exposure and saturation. In order to prevent potential artifacts that could be introduced by applying the weight maps in a per pixel fashion, our algorithm is designed as a multi-scale approach. The potential of the new operator has been tested on a large dataset of both natural and synthetic images. We demonstrate the effectiveness of our technique, based on an extensive evaluation against the state-of-the-art grayscale methods, and its ability to decolorize videos in a consistent manner.