Polarization and spectral information fusion by an improved Welsh image color transfer method

2015 ◽  
Author(s):  
J. Shen ◽  
L. Lv ◽  
T. H. Fan ◽  
Y. Liao ◽  
X. J. Yan
Keyword(s):  
Information Fusion ◽  
Spectral Information ◽  
Color Transfer ◽  
Transfer Method

Color transfer method with multi-source images

2010 ◽  
Vol 30 (11) ◽  
pp. 3015-3018
Author(s):  
Ying YANG
Keyword(s):  
Color Transfer ◽  
Transfer Method

scholarly journals An efficient PCA-based color transfer method

2007 ◽  
Vol 18 (1) ◽  
pp. 15-34 ◽  
Author(s):  
Arash Abadpour ◽  
Shohreh Kasaei
Keyword(s):  
Color Transfer ◽  
Transfer Method

scholarly journals Deep Color Transfer for Color-Plus-Mono Dual Cameras

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2743
Author(s):  
Hae Woong Jang ◽  
Yong Ju Jung
Keyword(s):  
Image Fusion ◽  
Stereo Matching ◽  
Color Image ◽  
Structural Information ◽  
Just Noticeable Difference ◽  
Color Transfer ◽  
Fused Image ◽  
Visual Artifacts ◽  
Transfer Method ◽  
Deep Learning Model

A few approaches have studied image fusion using color-plus-mono dual cameras to improve the image quality in low-light shooting. Among them, the color transfer approach, which transfers the color information of a color image to a mono image, is considered to be promising for obtaining improved images with less noise and more detail. However, the color transfer algorithms rely heavily on appropriate color hints from a given color image. Unreliable color hints caused by errors in stereo matching of a color-plus-mono image pair can generate various visual artifacts in the final fused image. This study proposes a novel color transfer method that seeks reliable color hints from a color image and colorizes a corresponding mono image with reliable color hints that are based on a deep learning model. Specifically, a color-hint-based mask generation algorithm is developed to obtain reliable color hints. It removes unreliable color pixels using a reliability map computed by the binocular just-noticeable-difference model. In addition, a deep colorization network that utilizes structural information is proposed for solving the color bleeding artifact problem. The experimental results demonstrate that the proposed method provides better results than the existing image fusion algorithms for dual cameras.

A grayscale image color transfer method based on region texture analysis using GLCM

2011 ◽  
Author(s):  
Yuanmeng Zhao ◽  
Lingxue Wang ◽  
Weiqi Jin ◽  
Yuan Luo ◽  
Jiakun Li
Keyword(s):  
Texture Analysis ◽  
Grayscale Image ◽  
Color Transfer ◽  
Transfer Method

Color transfer method for joint image signature and optimal transmission

2021 ◽  
Vol 36 (8) ◽  
pp. 1151-1165
Author(s):  
Bin XIE ◽  
◽  
Ke LIU ◽  
Kang ZHANG
Keyword(s):  
Color Transfer ◽  
Transfer Method ◽  
Image Signature

Color transfer method of luminance remapping with multi-parameters

2018 ◽  
Vol 47 (5) ◽  
pp. 526002
Author(s):  
仲红玉 Zhong Hongyu ◽  
尹丽菊 Yin Liju ◽  
高明亮 Gao Mingliang ◽  
邹国锋 Zou Guofeng ◽  
申 晋 Shen Jin ◽  
...  
Keyword(s):  
Color Transfer ◽  
Transfer Method
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