Color to Grayscale Image Conversion Based on Singular Value Decomposition-Reference-Cited by-同舟云学术

Color to Grayscale Image Conversion Based on Singular Value Decomposition

Published:2023 Issue: Volume:11 Page:54629-54638
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khudhair Zaid Nidhal¹,Khdiar Ahmed Nidhal²^ORCID,El Abbadi Nidhal K.³,Mohamed Farhan⁴^ORCID,Saba Tanzila⁵^ORCID,Alamri Faten S.⁶^ORCID,Rehman Amjad⁵^ORCID

Affiliation:

1. Faculty of Engineering, School of Computing, University of Technology Malaysia, Johor Bahru, Malaysia

2. Department of Electrical Engineering, Faculty of Engineering, University of Kufa, Najaf, Iraq

3. Computer Techniques Engineering Department, Al-Mustaqbal University, Babylon, Iraq

4. UTM-IRDA MaGICX, Institute of Human Centered Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

5. Artificial Intelligence and Data Analytics Laboratory, College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia

6. Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Funder

Princess Nourah bint Abdulrahman University and Researchers Supporting Project number

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10132453.pdf?arnumber=10132453

Reference30 articles.

1. Implementation of RGB and Grayscale Images in Plant Leaves Disease Detection – Comparative Study

2. Color to grayscale conversion based on neighborhood pixels effect approach for digital image;lim;Proc Int Conf Elect Electron Eng,2011

3. Effect of Decolorized Images In Scene Classification Using Deep Convolution Features

4. CorrC2G: Color to Gray Conversion by Correlation

5. Contrast Preserving Decolorization with Perception-Based Quality Metrics

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