Image interpolation by estimation and deconvolution of haar wavelet approximate subband

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Publication Details

Author list: Yasuno H., Chiracharit W., Chamnongthai K.

Publisher: Hindawi

Publication year: 2008

Volume number: 1

Start page: 501

End page: 504

Number of pages: 4

ISBN: 1424421012; 9781424421015

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-52949124460&doi=10.1109%2fECTICON.2008.4600480&partnerID=40&md5=e3323398e1eff2d5f00b2a66e380c750

Languages: English-Great Britain (EN-GB)

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Abstract

A backward wavelet transform (BWT) based image interpolation method, which consists of the estimation of an undecimated approximate subband and the deconvolution operation to the estimation result by solving simultaneous linear equations (SLE), is described in this paper. Our BWT means that the inverse step of wavelet transform (WT) by convolution operation and down sampling is utilized obtaining high resolution image, and inverse wavelet transform (IWT) is not utilized. For confirming the possibility and the effectiveness of this method, we concentrate on Haar wavelet, and the best result in peak-signal-to-noise-ratio (PSNR) is 38.31 dB with cubic spline interpolation. ฉ2008 IEEE.

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