LeDecolor

February 25, 2020 · View on GitHub

Log-Euclidean Metrics for Contrast Preserving Decolorization
% [1] Q. Liu, G. Shao, Y. Wang, J. Gao, H. Leung, “Log-Euclidean Metrics for Contrast Preserving Decolorization”
% IEEE Trans. Image Process., 26(12): 5772-5783, 2017.
% Author: Q. Liu, G. Shao, Y. Wang, J. Gao, H. Leung
% Date : 22/10/2016
% Version : 1.0
% The code and the algorithm are for non-comercial use only.
% Copyright 2016, Department of Electronic Information Engineering, Nanchang University.
% The current version is not optimized.
% LeDecolor - Log-Euclidean Metrics for Contrast Preserving Decolorization
% gIm = LeDecolor_v1(Im, gamma) performs contrast preserving decolorization
% on color image Im, with controling parameter gamma
%
% Paras:
% @Im : Input image (double), only color images are acceptable.
% @gamma : Controlling parameter defined in [1]. 0.2 by default.
%
% Example
% ==========
% Im = im2double(imread('6.png'));
% gIm = LeDecolor_v1(Im); % Default Parameters (gamma = 0.2)
% figure, imshow(Im,[]), figure, imshow(gIm,[]);

Demonstration of LeDecolor

  • GcsDecolor: Gradient Correlation Similarity for Efficient Contrast Preserving Decolorization [Paper] [Code] [Slide]

  • Semiparametric Decolorization With Laplacian-Based Perceptual Quality Metric [Paper] [Code]

  • Variable augmented neural network for decolorization and multi-exposure fusion [Paper] [Code] [Slide]

  • Color-to-gray Conversion on Wallpaper Dataset [Dataset]