Abstract
This paper presents an improved color mood blending between images via fuzzy relationship. We take into consideration the weighted influences of the source as well as the target image. Our algorithm automatically calculates the weights according to the fuzzy relations of images with Gaussian Membership Function, derived from both the statistical features of the source and target image. As the experimental results shown, the visual appearance of the resulting image is more natural and vivid. Our algorithm can offer users another selection for perfecting their work. It has four advantages. First, it is a general approach where previous methods are special cases of our method. Second, it produces a new style and feature. Third, the quality of the resultant image is visually plausible. Finally, it is simple and efficient, with no need to generate swatches.
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Huang, ML., Zhou, YC., Wang, CM. (2007). An Improved Color Mood Blending Between Images Via Fuzzy Relationship. In: Gagalowicz, A., Philips, W. (eds) Computer Vision/Computer Graphics Collaboration Techniques. MIRAGE 2007. Lecture Notes in Computer Science, vol 4418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71457-6_1
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DOI: https://doi.org/10.1007/978-3-540-71457-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71456-9
Online ISBN: 978-3-540-71457-6
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