Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Gradient domain high dynamic range compression
Proceedings of the 29th 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
Digital Image Processing
IEEE Computer Graphics and Applications
Accurate 3D image colour histogram transformation
Pattern Recognition Letters - Special issue: Colour image processing and analysis
ACM SIGGRAPH 2003 Papers
Example-based color stylization based on categorical perception
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
Example-Based Color Stylization of Images
ACM Transactions on Applied Perception (TAP)
N-Dimensional Probablility Density Function Transfer and its Application to Colour Transfer
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
Digital color restoration of old paintings
IEEE Transactions on Image Processing
Color style transfer techniques using hue, lightness and saturation histogram matching
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Color correction for multi-view video based on background segmentation and dominant color extraction
WSEAS Transactions on Computers
Visual algorithms for post production
ACM SIGGRAPH 2009 Courses
Synthesizing structured image hybrids
ACM SIGGRAPH 2010 papers
Progressive histogram reshaping for creative color transfer and tone reproduction
NPAR '10 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering
Optimizing continuity in multiscale imagery
ACM SIGGRAPH Asia 2010 papers
Geodesic shape retrieval via optimal mass transport
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Fast local color transfer via dominant colors mapping
ACM SIGGRAPH ASIA 2010 Sketches
Non-rigid dense correspondence with applications for image enhancement
ACM SIGGRAPH 2011 papers
Computational stereo camera system with programmable control loop
ACM SIGGRAPH 2011 papers
Colour spaces for colour transfer
CCIW'11 Proceedings of the Third international conference on Computational color imaging
AppWarp: retargeting measured materials by appearance-space warping
Proceedings of the 2011 SIGGRAPH Asia Conference
Transportation Distances on the Circle
Journal of Mathematical Imaging and Vision
Color transfer using scattered point interpolation
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
Color transfer based on multiscale gradient-aware decomposition and color distribution mapping
Proceedings of the 20th ACM international conference on Multimedia
Optimizing color consistency in photo collections
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
RealBrush: painting with examples of physical media
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Color matching for stereoscopic cinema
Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications
Colorimetric correction for stereoscopic camera arrays
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Image Color Transfer Approach by Analogy with Taylor Expansion
International Journal of System Dynamics Applications
A framework for interactive image color editing
The Visual Computer: International Journal of Computer Graphics
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This article proposes an original method for grading the colours between different images or shots. The first stage of the method is to find a one-to-one colour mapping that transfers the palette of an example target picture to the original picture. This is performed using an original and parameter free algorithm that is able to transform any N-dimensional probability density function into another one. The proposed algorithm is iterative, non-linear and has a low computational cost. Applying the colour mapping on the original picture allows reproducing the same 'feel' as the target picture, but can also increase the graininess of the original picture, especially if the colour dynamic of the two pictures is very different. The second stage of the method is to reduce this grain artefact through an efficient post-processing algorithm that intends to preserve the gradient field of the original picture.