Image Restoration

Author:

Vyas Aparna,Yu Soohwan,Paik Joonki

Publisher

Springer Singapore

Reference205 articles.

1. Abdullah, A.J.: Denoising of an image using discrete stationary wavelet transform and various thresholding techniques. J. Signal Inf. Process. 4, 33–41 (2013)

2. Achim, A., Kuruoglu, E.E.: Image denoising using bivariate-stable distributions in the complex wavelet domain. IEEE Signal Process. Lett. 12(1) (2005)

3. Achim, A., Tsakalides, P., Aezerianos, A.: SAR image denoising via Bayesian wavelet shrinkage based on Heavy-Tailed modeling. IEEE Trans. Geosci. Remote Sens. 41(8), 1773–1784 (2003)

4. Ahmed, S.S., Messali, Z., Ouahabi, A., Trepout, S., Messaoudi, C., Marco, S.: Nonparametric denoising methods based on contourlet transform with sharp frequency localization: application to low exposure time electron microscopy images. Entropy 17, 3461–3478 (2015)

5. Alparome, L., Baronti, S., Garzelli, A. Nencini, F.: The curvelet transform for fusion of very-high resolution multi-spectral and panchromatic images. In: Proceedings of the 25th EARSeL Symposium, Porto, Portugal. Millpress Science Publishers, Netherlands (2006)

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