In: Proceedings of the 10th International Conference on Digital Image Processing, 1197–1206, 2018. Automatic image style transfer using emotion-palette. In: Proceedings of the Symposium on Non-Photorealistic Animation and Rendering, Article No. Mixed illumination analysis in single image for interactive color grading. IEEE Transactions on Visualization and Computer Graphics Vol. Group-theme recoloring for multi-image color consistency. Comprehensive evaluation on various color editing examples demonstrates that our approach outperforms existing state-of-the-art color editing algorithms. After color selection, image matting is performed to ensure smoothness of the object boundary.
We also provide an intuitive user interface for efficient color manipulation.
#NATURE COLOR PALETTE FROM IMAGE OFFLINE#
Our data-driven approach consists of an offline learning part that learns the color distributions for different objects in the real world, and an online recoloring part that first recognizes the object category, and then recommends appropriate realistic candidate colors learned in the offline step for that category. To address this issue, we introduce a palette-based approach for realistic object-level image recoloring.
Unlike artists who have an accurate grasp of color, ordinary users are inexperienced in color selection and matching, and allowing non-professional users to edit colors arbitrarily may lead to unrealistic editing results. Existing color editing algorithms enable users to edit the colors in an image according to their own aesthetics.
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