A codebook-based digital image enlargement employing a fuzzy similarity measure

Author

Aso, Takashi ; Suetake, Noriaki ; Yamakawa, Takeshi

Author_Institution

Graduate Sch. of Comput. Sci. & Syst. Eng., Kyushu Inst. of Technol., Fukuoka, Japan

Volume

4

fYear

2001

fDate

2001

Firstpage

38

Abstract

We propose a new image enlargement method employing a codebook and a fuzzy similarity measure in order to realize simultaneous smoothing and sharpening in image enlargement. In the proposed method, codes (vectors) of a codebook are regarded as fuzzy if-then rules and unknown pixel values on the image are estimated by fuzzy inference. In this inference, fuzzy similarities between input and antecedent parts of the rules are calculated, then the estimation is achieved by taking a center of gravity of consequents. In this paper, experimental results show the superior performance of the proposed method in comparison with other image enlargement techniques

Keywords

frequency estimation; fuzzy neural nets; image coding; inference mechanisms; interpolation; self-organising feature maps; smoothing methods; table lookup; center of gravity; codebook-based enlargement; digital image enlargement; frequency estimation; fuzzy if-then rules; fuzzy inference; fuzzy similarity measure; interpolation; sharpening; smoothing; unknown pixel value estimation; Digital images; Frequency estimation; Fuzzy systems; Gravity; Interpolation; Mechanical variables measurement; Pixel; Q measurement; Smoothing methods; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on

Conference_Location

Beijing

Print_ISBN

0-7803-7010-4

Type

conf

DOI

10.1109/ICII.2001.983715

Filename

983715