Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Color2Gray: salience-preserving color removal
ACM SIGGRAPH 2005 Papers
Locally adapted hierarchical basis preconditioning
ACM SIGGRAPH 2006 Papers
Computational color harmony based on coloroid system
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Robust color-to-gray via nonlinear global mapping
ACM SIGGRAPH Asia 2009 papers
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Image and video decolorization by fusion
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
A color to grayscale conversion considering local and global contrast
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Computational Aesthetics'10 Proceedings of the Sixth international conference on Computational Aesthetics in Graphics, Visualization and Imaging
Gradient domain salience-preserving color-to-gray conversion
SIGGRAPH Asia 2012 Technical Briefs
Real-time contrast preserving decolorization
SIGGRAPH Asia 2012 Technical Briefs
Image recoloring using linear template mapping
Multimedia Tools and Applications
Grey conversion via perceived-contrast
The Visual Computer: International Journal of Computer Graphics
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The visualization of color images in gray scale has high practical and theoretical importance. Neither the existing local, gradient based methods, nor the fast global techniques give a satisfying result. We present a new color to grayscale transformation, based on the experimental background of the Coloroid system observations. We regard the color and luminance contrasts as a gradient field and we introduce a new simple, yet very efficient method to solve the inconsistency of the field. Having a consistent gradient field, we obtain the resultant image via fast direct integration. The complexity of the method is linear in the number of pixels, making it fast and suitable for high resolution images.