skip to navigation
skip to content

colorcorrect 0.6.1

imprement some of color correction algorithms

colorcorrect by Shunsuke Aihara - http://argmax.jp

date:

February 2012

description:

Imprement some of color correction algorithms

require:

python2.6 or later
numpy
PIL

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.
 
File Type Py Version Uploaded on Size
colorcorrect-0.6.1.tar.gz (md5) Source 2016-02-18 7KB