Development of Bayesian Neural Network Model to Predict the Correlated Color Temperature Using Digital Camera and Macbeth ColorChecker Chart-Reference-Cited by-同舟云学术

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Development of Bayesian Neural Network Model to Predict the Correlated Color Temperature Using Digital Camera and Macbeth ColorChecker Chart

Published:2022 Issue: Volume:10 Page:55499-55507
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kamath Vedavyasa¹^ORCID,Kurian Ciji Pearl¹^ORCID,Padiyar U. Suprabha¹^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

Funder

All India Council for Technical Education (AICTE), Research Promotional Scheme (RPS) India, funded Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09780116.pdf?arnumber=9780116

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quality of Colour Rendering in Photographic Scenes Illuminated by Light Sources with Light-Shaping Attachments;Applied Sciences;2024-02-22

2. Testing methods to estimate spectral reflectance using datasets under different illuminants;Color Research & Application;2023-05-13

3. Prediction of illuminance on the work plane using low dynamic unprocessed image data;2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT);2022-12-26

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