Wavelet domain image resolution enhancement using cycle-spinning

A wavelet domain image resolution enhancement method is proposed. The method adopts the cycle-spinning methodology adapted for use in the wavelet domain. The perceptual and objective quality of resolution enhanced images compare favourably with recently emerged algorithms in the field.

[1]  Martin Vetterli,et al.  Resolution enhancement of images using wavelet transform extrema extrapolation , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[2]  Hua Han,et al.  Wavelet-domain HMT-based image super-resolution , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[3]  Sheila S. Hemami,et al.  Regularity-preserving image interpolation , 1999, IEEE Trans. Image Process..

[4]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[5]  Il Kyu Eom,et al.  Image interpolation based on inter-scale dependency in wavelet domain , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[6]  Robert D. Nowak,et al.  Wavelet-based statistical signal processing using hidden Markov models , 1998, IEEE Trans. Signal Process..

[7]  Thomas W. Parks,et al.  Image interpolation using wavelet based hidden Markov trees , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[8]  Aria Nosratinia,et al.  Enhancement of JPEG-Compressed Images by Re-application of JPEG , 2001, J. VLSI Signal Process..

[9]  Aria Nosratinia Postprocessing of JPEG-2000 images to remove compression artifacts , 2003, IEEE Signal Processing Letters.