Single Image Realism Assessment and Recoloring by Color Compatibility

In this paper, we investigate the assessment of image realism by focusing our attention on the color compatibility between an inserted object and the background in an image composite. We propose a technique based on two color compatibility properties to achieve realistic image composition. The first...

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Bibliographic Details
Published in:IEEE transactions on multimedia 2012-06, Vol.14 (3), p.760-769
Main Authors: Bing-Yi Wong, Kuang-Tsu Shih, Chia-Kai Liang, Chen, Homer H.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Clustering algorithms
Color compatibility
color similarity
color tendency
Computer science
control theory
systems
Exact sciences and technology
Focusing
Gaussian distribution
Humans
Image color analysis
image composition
image realism
image recoloring
Indexes
Pattern recognition. Digital image processing. Computational geometry
Poisson equations
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Description
Summary:In this paper, we investigate the assessment of image realism by focusing our attention on the color compatibility between an inserted object and the background in an image composite. We propose a technique based on two color compatibility properties to achieve realistic image composition. The first property is related to the color similarity, and the second one to the consistence of color tendency between image regions. We further propose algorithms based on these two properties for image realism assessment and recoloring. These algorithms only require information from the image to be tested, making them suitable for practical applications where real images are unavailable. Effectiveness of the algorithms is demonstrated through various images and verified by ground truth.
ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2012.2188997