Efficient image resizing using finite differences

Author

Munoz, Arrate ; Blu, Thierry ; Unser, Michael

Author_Institution

Biomed. Imaging Group, Swiss Fed. Inst. of Technol., Lausanne, Switzerland

Volume

3

fYear

1999

fDate

1999

Firstpage

662

Abstract

We present an optimal spline-based algorithm for the enlargement or reduction of digital images with arbitrary scaling factors. This projection-based approach is realizable thanks to a new finite difference method that allows the computation of inner products with analysis functions that are B-splines of any degree n. For a given choice of basis functions, the results of our method are consistently better that those of the standard interpolation procedure; the present scheme achieves a reduction of artifacts such as aliasing and blocking and a significant improvement of the signal-to-noise ratio

Keywords

finite difference methods; image processing; interpolation; splines (mathematics); B-splines; aliasing; arbitrary scaling factors; basis functions; digital images; finite differences; image resizing; interpolation; optimal spline-based algorithm; signal-to-noise ratio; Biomedical imaging; Convolution; Digital images; Finite difference methods; Image analysis; Interpolation; Matched filters; OFDM modulation; Signal processing algorithms; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on

Conference_Location

Kobe

Print_ISBN

0-7803-5467-2

Type

conf

DOI

10.1109/ICIP.1999.817198

Filename

817198