An Optimal Factor Analysis Approach to Improve the Wavelet-based Image Resolution Enhancement Techniques

1
Yitian Zhao
Yitian Zhao
2
Wasnaa Witwit
Wasnaa Witwit
3
Karl Jenkins
Karl Jenkins
4
Yifan Zhao
Yifan Zhao
1 Cranfield University

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The existing wavelet-based image resolution enhancement techniques have many assumptions, such as limitation of the way to generate low-resolution images and the selection of wavelet functions, which limits their applications in different fields. This paper initially identifies the factors that effectively affect the performance of these techniques and quantitatively evaluates the impact of the existing assumptions. An approach called Optimal Factor Analysis employing the genetic algorithm is then introduced to increase the applicability and fidelity of the existing methods. Moreover, a new Figure of Merit is proposed to assist the selection of parameters and better measure the overall performance.

26 Cites in Articles

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Yitian Zhao. 2016. \u201cAn Optimal Factor Analysis Approach to Improve the Wavelet-based Image Resolution Enhancement Techniques\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 16 (GJCST Volume 16 Issue F3): .

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GJCST Volume 16 Issue F3
Pg. 11- 20
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-F Classification: I.3.3, I.4, B.4.2, H.2.8
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December 17, 2016

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The existing wavelet-based image resolution enhancement techniques have many assumptions, such as limitation of the way to generate low-resolution images and the selection of wavelet functions, which limits their applications in different fields. This paper initially identifies the factors that effectively affect the performance of these techniques and quantitatively evaluates the impact of the existing assumptions. An approach called Optimal Factor Analysis employing the genetic algorithm is then introduced to increase the applicability and fidelity of the existing methods. Moreover, a new Figure of Merit is proposed to assist the selection of parameters and better measure the overall performance.

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An Optimal Factor Analysis Approach to Improve the Wavelet-based Image Resolution Enhancement Techniques

Wasnaa Witwit
Wasnaa Witwit
Yitian Zhao
Yitian Zhao Cranfield University
Karl Jenkins
Karl Jenkins
Yifan Zhao
Yifan Zhao

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