Image interpolation by estimation and deconvolution of wavelet approximate subband

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Publication Details

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

Publisher: Hindawi

Publication year: 2008

Start page: 154

End page: 159

Number of pages: 6

ISBN: 9781424423361

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-67549102530&doi=10.1109%2fISCIT.2008.4700173&partnerID=40&md5=bd6c86814b450717f3f5d3c0b81b8b11

Languages: English-Great Britain (EN-GB)

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Abstract

This paper proposes a method of image interpolation by estimation and deconvolution of wavelet approximate subband. In this method, wavelet approximate subband that contains much information is firstly interpolated by interpolation methods such as cubic spline in order to find the decimated low-pass component of the image. The low-pass component is then deconvoluted for getting the original image. To confirm the effectiveness of proposed method, the experimental results performed with standard test images reveal that proposed method outperforms conventional methods. The best result in peak-signal-to-noise-ratio is 39.27 dB by our proposal with cubic spline interpolation. ฉ 2008 IEEE.

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