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
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;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4654623
