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Perceptual Color Correction Through Variational Techniques
Abstract
In this paper, we present a discussion about perceptual-based color correction of digital images in the framework of variational techniques. We propose a novel image functional whose minimization produces a perceptually inspired color enhanced version of the original. The variational formulation permits a more flexible local control of contrast adjustment and attachment to data. We show that a numerical implementation of the gradient descent technique applied to this energy functional coincides with the equation of automatic color enhancement (ACE), a particular perceptual-based model of color enhancement. Moreover, we prove that a numerical approximation of the Euler-Lagrange equation reduces the computational complexity of ACE from theta(N2) to theta(N log N), where N is the total number of pixels in the image.
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Cited by
A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation
Fu, X., Zeng, D., Huang, Y., Zhang, X.-P., & Ding, X. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.304 · Cited by 1,081
Learning Enriched Features for Fast Image Restoration and Enhancement
Zamir, S. W., Arora, A., Khan, S., Hayat, M., Khan, F. S., Yang, M.-H., & Shao, L. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3167175 · Cited by 531
Parameterized logarithmic framework for image enhancement
Panetta, K., Agaian, S., Zhou, Y., & Wharton, E. J. (2011) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2010.2058847 · Cited by 143
Metadata
- Authors
- Bertalmio, M., Caselles, V., Provenzi, E., & Rizzi, A.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2007-04
- Volume
- 16
- Issue
- 4
- Pages
- 1058-1072
- ISSN
- 1057-7149 (ISSN-L)
- OpenAlex
- W2132713759
- Cited by
- 168
- References
- 0
- FWCI
- 3.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bertalmio, M., Caselles, V., Provenzi, E., & Rizzi, A. (2007). Perceptual Color Correction Through Variational Techniques. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2007.891777
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