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License: MIT License
This project forked from shunsukeaihara/colorcorrect
License: MIT License
colorcorrect by Shunsuke Aihara - http://argmax.jp date:: February 2012 description:: Imprement some of color correction algorithms require:: python2.6 or later numpy Pillow install:: % python setup.py build % python setup.py install impement algorithms:: gray world colorcorrect.algorithm.gray_world usage: image max white colorcorrect.algorithm.max_white usage: image stretch colorcorrect.algorithm.stretch usage: image retinex colorcorrect.algorithm.retinex usage: image retinex with adjust colorcorrect.algorithm.retinex_with_adjust usage: image standard deviation weighted grey world colorcorrect.algorithm.standard_deviation_weighted_grey_world usage: image,subblock width(default:20), subblock height(default:20) standard deviation and luminance weighted gray world colorcorrect.algorithm.standard_deviation_and_luminance_weighted_gray_world usage: image,subblock width(default:20), subblock height(default:20) luminance weighted gray world colorcorrect.algorithm.luminance_weighted_gray_world usage: image,subblock width(default:20), subblock height(default:20) automatic color equalization colorcorrect.algorithm.automatic_color_equalization usage: image,slope(default:10),limit(default:1000) sample usage:: >>> import Image >>> import colorcorrect.algorithm as cca >>> from colorcorrect.util import from_pil, to_pil >>> img = Image.open('/path/to/image') >>> to_pil(cca.stretch(from_pil(img))).show() References:: Denis. Nikitenko, M. Wirth and K. Trudel, "Applicability Of White-Balancing Algorithms to Restoring Faded Colour Slides: An Empirical Evaluation.", Journal of Multimedia, vol. 3, no. 5, 2008. HK. Lam, OC. Au and CW. Wong, "Automatic white balancing using luminance component and standard deviation of RGB components", in Proc. ICASSP, 2004. A. Rizzi, C. Gatta and D. Marini, "A new algorithm for unsupervised global and local color correction.", Pattern Recognition Letters, vol. 24, no. 11, 2003.
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