Abstract
The correction of the vignetting effect in digital images is a key pre-processing step in several computer vision applications. In this paper, some corrections and improvements to the image vignetting correction algorithm based on the minimization of the log-intensity entropy of the image are proposed. In particular, the new algorithm is able to deal with images with a vignetting that is not in the center of the image through the search of the optical center of the image. The experimental results show that this new version outperforms notably the original algorithm both from the qualitative and the quantitative point of view. The quantitative measures are obtained using an image database with images to which artificial vignetting has been added.
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Lopez-Fuentes, L., Oliver, G., Massanet, S. (2015). Revisiting Image Vignetting Correction by Constrained Minimization of Log-Intensity Entropy. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2015. Lecture Notes in Computer Science(), vol 9095. Springer, Cham. https://doi.org/10.1007/978-3-319-19222-2_38
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DOI: https://doi.org/10.1007/978-3-319-19222-2_38
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