Metadata-Version: 1.0
Name: colorcorrect
Version: 0.03
Summary: imprement some of color correction algorithms
Home-page: http://www.bitbucket.org/ynil/colorcorrect
Author: Shunsuke Aihara
Author-email: s.aihara@gmail.com
License: MIT License
Description: 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()
        
Keywords: image-processing computer-vision
Platform: UNKNOWN
