DocumentCode :
2227760
Title :
Image magnification by using spectrum extrapolation
Author :
Aoyama, Koji ; Ishii, Rokuya
Author_Institution :
Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan
fYear :
1993
fDate :
15-19 Nov 1993
Firstpage :
2266
Abstract :
Presents a new image magnification algorithm that produces high frequency components of the spectrum of an image. To estimate high frequency components, the authors investigate the iterative algorithm of Gerchberg-Papoulis with various extrapolation methods. The authors apply this algorithm to digital images. In the application of this algorithm, there is one problem that greatly affects its efficiency. The authors propose two techniques to overcome this problem. Using these techniques, the authors can obtain magnified images with higher quality
Keywords :
extrapolation; image processing; iterative methods; Gerchberg-Papoulis algorithm; digital images; extrapolation methods; high frequency components; image magnification; spectrum extrapolation; Digital images; Discrete Fourier transforms; Extrapolation; Filtering; Frequency conversion; Frequency estimation; Image resolution; Image restoration; Iterative algorithms; Signal restoration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-0891-3
Type :
conf
DOI :
10.1109/IECON.1993.339430
Filename :
339430
Link To Document :
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