In this paper, we perform an inter-sub-band statistical analysis of curvelet coefficients, making a distinction between two classes of coefficients: those representing useful image content and those dominated by noise. This analysis enables us to develop an appropriate inter-sub-band local spatial activity indicator (LSAI) for curvelets. We use this LSAI in our recently developed curvelet-based denoising method ProbShrinkCurv. The results demonstrate that the new method outperforms the wavelet-based ProbShrink estimator as well as the existing curvelet-based methods, both for textured and for piecewise smooth images.
Tessens, L, Pizurica, A, Alecu, A, Munteanu, A & Philips, W 2006, Modeling Curvelet domain Inter-band Image Statistics with Application to Spatially-Adaptive Image Denoising. in ProRISC 2006, Veldhoven, The Netherlands. pp. 208-213, Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet, Stockholm, Sweden, 21/09/09.
Tessens, L., Pizurica, A., Alecu, A., Munteanu, A., & Philips, W. (2006). Modeling Curvelet domain Inter-band Image Statistics with Application to Spatially-Adaptive Image Denoising. In ProRISC 2006, Veldhoven, The Netherlands (pp. 208-213)
@inproceedings{b4d0077fec95421d91bb4b518bf81f2d,
title = "Modeling Curvelet domain Inter-band Image Statistics with Application to Spatially-Adaptive Image Denoising",
abstract = "In this paper, we perform an inter-sub-band statistical analysis of curvelet coefficients, making a distinction between two classes of coefficients: those representing useful image content and those dominated by noise. This analysis enables us to develop an appropriate inter-sub-band local spatial activity indicator (LSAI) for curvelets. We use this LSAI in our recently developed curvelet-based denoising method ProbShrinkCurv. The results demonstrate that the new method outperforms the wavelet-based ProbShrink estimator as well as the existing curvelet-based methods, both for textured and for piecewise smooth images.",
keywords = "geometric wavelets, curvelets, image denoising",
author = "Linda Tessens and Alexandra Pizurica and Alin Alecu and Adrian Munteanu and Wilfried Philips",
year = "2006",
month = nov,
language = "English",
pages = "208--213",
booktitle = "ProRISC 2006, Veldhoven, The Netherlands",
note = "Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet ; Conference date: 21-09-2009 Through 25-09-2009",
}