Abstract
Variational techniques provide a powerful tool for understanding image features and creating new efficient algorithms. In the past twenty years, this machinery has been also applied to color images. Recently, a general variational framework that incorporates the basic phenomenological characteristics of the human visual system has been built. Here we recall the structure of this framework and give noticeable examples. We then propose a new analytic expression for a parameter that regulates contrast enhancement. This formula is defined in terms of intrinsic image features, so that the parameter no longer needs to be empirically set by a user, but it is automatically determined by the image itself.
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Provenzi, E. (2009). Perceptual Color Correction: A Variational Perspective. In: Trémeau, A., Schettini, R., Tominaga, S. (eds) Computational Color Imaging. CCIW 2009. Lecture Notes in Computer Science, vol 5646. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03265-3_12
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DOI: https://doi.org/10.1007/978-3-642-03265-3_12
Publisher Name: Springer, Berlin, Heidelberg
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