Fuzzy-tuned weights for kernel-based linear interpolation

Hsiang Chieh Chen; Wen June Wang; Chung Hsun Sun

doi:10.1109/SICE.2008.4654623

Fuzzy-tuned weights for kernel-based linear interpolation

Hsiang Chieh Chen, Wen June Wang, Chung Hsun Sun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents the applicability of fuzzy techniques to image interpolation for producing high-resolution images. The fuzzy theory is firstly adopted in finding a proper modification for the distances in interpolation formulas. By considering local features around the interpolated point, a more accurate estimate of interpolated value could be obtained via the proposed algorithm. Experimental comparisons presented in numerical PSNRs demonstrate the superior effectiveness of the proposed method.

Original language	English
Title of host publication	Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
Pages	63-66
Number of pages	4
DOIs	https://doi.org/10.1109/SICE.2008.4654623
State	Published - 2008
Event	SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology - Tokyo, Japan Duration: 20 Aug 2008 → 22 Aug 2008

Publication series

Name	Proceedings of the SICE Annual Conference

Conference

Conference	SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
Country/Territory	Japan
City	Tokyo
Period	20/08/08 → 22/08/08

Keywords

Fuzzy logic
Image interpolation
Image zooming
Resolution enhancement

Access to Document

10.1109/SICE.2008.4654623

Cite this

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title = "Fuzzy-tuned weights for kernel-based linear interpolation",

abstract = "This paper presents the applicability of fuzzy techniques to image interpolation for producing high-resolution images. The fuzzy theory is firstly adopted in finding a proper modification for the distances in interpolation formulas. By considering local features around the interpolated point, a more accurate estimate of interpolated value could be obtained via the proposed algorithm. Experimental comparisons presented in numerical PSNRs demonstrate the superior effectiveness of the proposed method.",

keywords = "Fuzzy logic, Image interpolation, Image zooming, Resolution enhancement",

author = "Chen, {Hsiang Chieh} and Wang, {Wen June} and Sun, {Chung Hsun}",

year = "2008",

doi = "10.1109/SICE.2008.4654623",

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isbn = "9784907764296",

series = "Proceedings of the SICE Annual Conference",

pages = "63--66",

booktitle = "Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology",

note = "SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology ; Conference date: 20-08-2008 Through 22-08-2008",

}

Chen, HC , Wang, WJ & Sun, CH 2008, Fuzzy-tuned weights for kernel-based linear interpolation. in Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology., 4654623, Proceedings of the SICE Annual Conference, pp. 63-66, SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology, Tokyo, Japan, 20/08/08. https://doi.org/10.1109/SICE.2008.4654623

Fuzzy-tuned weights for kernel-based linear interpolation. / Chen, Hsiang Chieh ; Wang, Wen June; Sun, Chung Hsun.
Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology. 2008. p. 63-66 4654623 (Proceedings of the SICE Annual Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wang, Wen June

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AB - This paper presents the applicability of fuzzy techniques to image interpolation for producing high-resolution images. The fuzzy theory is firstly adopted in finding a proper modification for the distances in interpolation formulas. By considering local features around the interpolated point, a more accurate estimate of interpolated value could be obtained via the proposed algorithm. Experimental comparisons presented in numerical PSNRs demonstrate the superior effectiveness of the proposed method.

KW - Fuzzy logic

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KW - Image zooming

KW - Resolution enhancement

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T2 - SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology

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ER -

Fuzzy-tuned weights for kernel-based linear interpolation

Abstract

Publication series

Conference

Keywords

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