Laplacian-guided image decolorization

2016 ◽  
Author(s):  
Cosmin Ancuti ◽  
Codruta O. Ancuti
Keyword(s):  
Image Decolorization

Image Decolorization Combining Local Features and Exposure Features

2019 ◽  
Vol 21 (10) ◽  
pp. 2461-2472 ◽  
Author(s):  
Shiguang Liu ◽  
Xiaoli Zhang
Keyword(s):  
Local Features ◽  
Image Decolorization

Efficient image decolorization with a multimodal contrast-preserving measure

2018 ◽  
Vol 70 ◽  
pp. 251-260 ◽  
Author(s):  
Hanli Zhao ◽  
Haining Zhang ◽  
Xiaogang Jin
Keyword(s):  
Image Decolorization

scholarly journals SMOOTHING AND CLUSTERING GUIDED IMAGE DECOLORIZATION

2021 ◽  
Author(s):  
Fang Li ◽  
Yuanming Zhu
Keyword(s):  
Quadratic Programming ◽  
Linear Combination ◽  
Optimization Problem ◽  
Color Image ◽  
State Of The Art ◽  
Image Clustering ◽  
Data Sets ◽  
Grayscale Image ◽  
Weight Optimization ◽  
Image Decolorization

In this paper, we propose a new image decolorization method based on image clustering and weight optimization. First, we smooth the color image and cluster it into several classes and get the class centers. Each center can represent a distinctive color in the image. Then the class centers are sorted according to their brightness measured by Euclidean norm. By assuming that the decolorized grayscale image is a linear combination of the three channels of the color image, we propose an optimization problem by forcing the sorted class centers to correspond to specified grayscale values satisfying uniform distribution. Numerically, the problem is solved by quadratic programming. Experiments on two popular data sets demonstrate that the proposed method is competitive with the state-of-the-art decolorization method.

Spectral Image Decolorization

2010 ◽  
pp. 747-756 ◽  
Author(s):  
Ye Zhao ◽  
Zakiya Tamimi
Keyword(s):  
Spectral Image ◽  
Image Decolorization

Invertible Image Decolorization

2021 ◽  
pp. 1-1
Author(s):  
Rui Zhao ◽  
Tianshan Liu ◽  
Jun Xiao ◽  
Daniel P.K. Lun ◽  
Kin-Man Lam
Keyword(s):  
Image Decolorization

A Variational Approach for Image Decolorization by Variance Maximization

2014 ◽  
Vol 7 (2) ◽  
pp. 944-968 ◽  
Author(s):  
Zhengmeng Jin ◽  
Fang Li ◽  
Michael K. Ng
Keyword(s):  
Variational Approach ◽  
Image Decolorization

Contrast preserving image decolorization combining global features and local semantic features

2018 ◽  
Vol 34 (6-8) ◽  
pp. 1099-1108 ◽  
Author(s):  
Xiaoli Zhang ◽  
Shiguang Liu
Keyword(s):  
Semantic Features ◽  
Global Features ◽  
Image Decolorization

Hazy Image Decolorization With Color Contrast Restoration

2020 ◽  
Vol 29 ◽  
pp. 1776-1787 ◽  
Author(s):  
Wei Wang ◽  
Zhengguo Li ◽  
Shiqian Wu ◽  
Liangcai Zeng
Keyword(s):  
Color Contrast ◽  
Image Decolorization
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