Applied and Computational Engineering

- The Open Access Proceedings Series for Conferences


Proceedings of the 3rd International Conference on Signal Processing and Machine Learning

Series Vol. 4 , 30 May 2023


Open Access | Article

Research on RGB image optimization technology based on cluster analysis and improved Hibbard algorithm

Jiaxin Hou 1 , Zhiyue Wang 2 , Yiling Xie 3 , Feichen Zhou * 4
1 Jinling High School Hexi Campus International Department, Nanjing, 210019, China
2 Department of Computer Science and Technology, Southern University of Science and Technology, Shenzhen, 518055, China
3 School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China
4 Dept. of Electrical and Computer Engineering, McMaster University, Hamilton, L8S 4L8, Canada

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 4, 119-126
Published 30 May 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Jiaxin Hou, Zhiyue Wang, Yiling Xie, Feichen Zhou. Research on RGB image optimization technology based on cluster analysis and improved Hibbard algorithm. ACE (2023) Vol. 4: 119-126. DOI: 10.54254/2755-2721/4/20230425.

Abstract

One of the most crucial components of a Bayer mosaic pattern image from a charge-coupled device is image interpolation. There are two common problems when processing the images. First one is false colouring when erroneously interpolating across an edge rather than along it results in sudden or unexpected colour changes. The other is Zipper effect caused by the demosaicing algorithm's propensity to average pixel values along edges, particularly in the red and blue planes, which blurs edges. This paper proposed two image optimization algorithms to solve the aforementioned problems: Hibbard-based edge improvement algorithm and Clustering-based colour interpolation. The improved Hibbard algorithm is used in this paper together with variance comparison, diagonal gradient computation, and clustering approach to complete image optimization. In this experiment, the edge interpolation effect yields a better result. The experimental show that the algorithm can eliminate the zipper effect of feature edges better and obtain clearer edge features.

Keywords

Bayer mosaic interpolation, edge improvement, clustering.

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
ISBN (Print)
978-1-915371-55-3
ISBN (Online)
978-1-915371-56-0
Published Date
30 May 2023
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/4/20230425
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated