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M.Tech M.E PhD Thesis | Computer Science Engineering | Volume 4 Issue 5, May 2015 | Pages: 1943 - 1948 | India
Color Transfer Between Images By Minimizing Corruptive Artifacts
Abstract: Color transfer between images is a critical operation in image editing but easily suffers from some corruptive artifacts in the mapping process. In this paper, a color transfer approach with corruptive artifacts suppression is define, which performs iterative probabilistic color mapping. It is done with the help of self-learning filtering scheme and multiscale detail manipulation scheme, which minimizes Kullback-Leibler distance. First, an iterative probabilistic color mapping is applied to construct the mapping relationship between the reference and target images. Then, a self learning filtering scheme is applied into the transfer process to prevent from artifacts and extract details. The transferred output and the extracted multi-levels details are integrated. This is done by the measurement minimization to yield the final result. This method achieves a sound grain suppression, color fidelity (the degree to which the output image matches the original images) and detail appearance.
Keywords: Colored Image, Corruptive Artifacts, Grain, Color Fidelity
How to Cite?: Anjali A. Dhanve, Gyankamal J. Chhajed, "Color Transfer Between Images By Minimizing Corruptive Artifacts", Volume 4 Issue 5, May 2015, International Journal of Science and Research (IJSR), Pages: 1943-1948, https://www.ijsr.net/getabstract.php?paperid=SUB154606, DOI: https://dx.doi.org/10.21275/SUB154606