Computational colour constancy based on convolutional neural networks with a cross‐level architecture-Reference-Cited by-同舟云学术

Computational colour constancy based on convolutional neural networks with a cross‐level architecture

Published:2019-05-22 Issue:8 Volume:13 Page:1304-1313
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Zhan Hefeng¹²,Shi Songxin¹²,Huo Yang³

Affiliation:

1. National Engineering Research Center for Manufacturing Equipment Digitization, Huazhong University of Science and TechnologyWuhanPeople's Republic of China

2. School of Mechanical Science and Engineering, Huazhong University of Science and TechnologyWuhanPeople's Republic of China

3. School of Automation, Huazhong University of Science and TechnologyWuhanPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5450

Reference39 articles.

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2. Colour constancy using natural image statistics and scene semantics;Arjan G.;IEEE Trans. Pattern Anal. Mach. Intell.,2011

3. Consensus-based framework for illuminant chromaticity estimation

4. Image classification based on convolutional neural networks with cross‐level strategy;Liu Y.;Multimedia Tools Appl.,2017

5. Exemplar-Based Color Constancy and Multiple Illumination

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