imprement some of color correction algorithms
Project description
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.
