A Coherent Computational Approach to Model Bottom-Up Visual Attention
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2006 Papers
Understanding Color: An Introduction for Designers
Understanding Color: An Introduction for Designers
Color Harmonization for Videos
ICVGIP '08 Proceedings of the 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing
Affective image classification using features inspired by psychology and art theory
Proceedings of the international conference on Multimedia
A Nonparametric Approach for Histogram Segmentation
IEEE Transactions on Image Processing
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The focus of this paper is automatic color harmonization, which amounts to re-coloring an image so that the obtained color palette is more harmonious for human observers. The proposed automatic algorithm builds on the pioneering works described in [3,12] where templates of harmonious colors are defined on the hue wheel. We bring three contributions in this paper: first, saliency [9] is used to predict the most attractive visual areas and estimate a consistent harmonious template. Second, an efficient color segmentation algorithm, adapted from [4], is proposed to perform consistent color mapping. Third, a new mapping function substitutes usual color shifting method. Results show that the method limits the visual artifacts of state-of-the-art methods and leads to a visually consistent harmonization.