DocumentCode :
475381
Title :
Image interpolation by estimation and deconvolution of Haar wavelet approximate subband
Author :
Yasuno, H. ; Chiracharit, W. ; Chamnongthai, K.
Author_Institution :
Dept. of Electron. & Telecommun. Eng., King Mongkut´´s Univ. of Technol. Thonburi, Bangkok
Volume :
1
fYear :
2008
fDate :
14-17 May 2008
Firstpage :
501
Lastpage :
504
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.
Keywords :
Haar transforms; deconvolution; image recognition; interpolation; wavelet transforms; Haar wavelet approximate subband; backward wavelet transform; cubic spline interpolation; deconvolution operation; high resolution image; image interpolation; inverse wavelet transform; linear equations; peak-signal- to-noise-ratio; Convolution; Deconvolution; Digital TV; Equations; Image resolution; Image sampling; Interpolation; PSNR; Spline; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008. ECTI-CON 2008. 5th International Conference on
Conference_Location :
Krabi
Print_ISBN :
978-1-4244-2101-5
Electronic_ISBN :
978-1-4244-2102-2
Type :
conf
DOI :
10.1109/ECTICON.2008.4600480
Filename :
4600480
Link To Document :
بازگشت