DocumentCode
3149870
Title
Fuzzy-tuned weights for Kernel-based linear interpolation
Author
Hsiang-Chieh Chen ; Wen-June Wang ; Chung-Hsun Sun
Author_Institution
Dept. of Electr. Eng., Nat. Central Univ., Jhongli
fYear
2008
fDate
20-22 Aug. 2008
Firstpage
63
Lastpage
66
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 set theory; image resolution; interpolation; fuzzy theory; fuzzy-tuned weights; high-resolution images; image interpolation; kernel-based linear interpolation; Fuzzy logic; Image generation; Image processing; Image resolution; Interpolation; Multimedia communication; PSNR; Performance evaluation; Sampling methods; Two dimensional displays; Image interpolation; fuzzy logic; image zooming; resolution enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference, 2008
Conference_Location
Tokyo
Print_ISBN
978-4-907764-30-2
Electronic_ISBN
978-4-907764-29-6
Type
conf
DOI
10.1109/SICE.2008.4654623
Filename
4654623
Link To Document