Color transfer between images through color palette adaptation

Computer graphics processing and selective visual display system – Computer graphics processing – Attributes

Reexamination Certificate

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C345S591000, C345S581000, C345S619000, C345S428000, C348S254000, C348S498000, C348S557000, C358S518000, C358S519000, C358S537000, C358S448000, C382S167000, C382S254000, C382S274000, C382S164000

Reexamination Certificate

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08031202

ABSTRACT:
An image adjustment includes adapting a universal palette to generate (i) an input image palette statistically representative of pixels of an input image and (ii) a reference image palette statistically representative of pixels of a reference image, and adjusting at least some pixels of the input image to generate adjusted pixels that are statistically represented by the reference image palette. In some embodiments, a user interface for controlling the image adjustment includes a display and at least one user input device, the user interface displaying a set of colors indicative of the regions of color space represented by a palette and receiving a selection of one or more regions of the color space, so that the image adjustment adjusts those pixels of the input image lying within the one or more selected regions of the color space.

REFERENCES:
patent: 5802361 (1998-09-01), Wang et al.
patent: 6807300 (2004-10-01), Gindele et al.
patent: 2003/0007687 (2003-01-01), Nesterov et al.
patent: 2007/0242162 (2007-10-01), Gutta et al.
patent: 2007/0253623 (2007-11-01), Ohira et al.
patent: 2010/0295959 (2010-11-01), Steinberg et al.
patent: 2011/0032392 (2011-02-01), Litvinov et al.
Gauvain et al., “MAP Estimation of Continuous Density HMM: Theory and Applications,” Proc. DARPA Speech & Nat. Lang., Morgan Kaufmann, pp. 1-6, 1992.
Dempster et al., “Maximum Likelihood from Incomplete Data via the EM Algorithm,” Journal of the Royal Statistical Society Series B (Methodological), vol. 39, No. 1 pp. 1-38, 1977.
Woolfe, “Natural Language Color Editing,” ISCC, pp. 1-5, 2007.
Tai et al., “Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization,” IEEE Int. conf. on Computer Vision and Pattern Recognition (CVPR), vol. 1, 2005.
Chang et al., “Example-Based Color Stylization Based on Categorical Perception,” Applied perception in graphics and visualization, vol. 73, 2004.
Chang et al., “Example-Based Color Transformation for Image and Video,” ACM, pp. 347-353, 2005.
Reinhard et al., “Color Transfer between Images,” IEEE Computer Graphics and Applications, vol. 21, Issue 5, pp. 34-41, 2001.
Gauvain et al., “Maximum A Posteriori Estimation for Multivariate Gaussian Mixture Observations of Markov Chains,” IEEE trans. On Speech and audio Processing, 1994.
Woodland, “Speaker Adaptation: Techniques and Challenges,” Proc. IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2000.
Pitie et al., “N-Dimensional Probability Density Function Transfer and its Application to Colour Transfer,” IEEE Int. conf. on computer Vision (ICCV), vol. 2, 2005.

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