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» Spatial Adaptive Wavelet Thresholding for Image Denoising
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ICIP
1997
IEEE
15 years 11 months ago
Wavelet Based Automatic Thresholding for Image Segmentation
In this paper, a new systematic method to segment possible target areas based on wavelet transforms is presented. We develop an analytic model for the segmentation of targets, whi...
Xiao-Ping Zhang, Mita D. Desai
ISBI
2004
IEEE
15 years 10 months ago
Wavelet-Based fMRI Statistical Analysis and Spatial Interpretation: A Unifying Approach
Wavelet-based statistical analysis methods for fMRI are able to detect brain activity without smoothing the data. Typically, the statistical inference is performed in the wavelet ...
Dimitri Van De Ville, Thierry Blu, Michael Unser
85
Voted
ICIP
2008
IEEE
15 years 11 months ago
A perceptually adaptive approach to image denoising using anisotropic non-local means
This paper introduces a novel perceptually adaptive approach to image denoising using anisotropic non-local means. In the classical non-local means image denoising approach, the v...
Alexander Wong, Paul W. Fieguth, David A. Clausi
TMI
1998
134views more  TMI 1998»
14 years 9 months ago
Speckle Reduction and Contrast Enhancement of Echocardiograms via Multiscale Nonlinear Processing
Abstract— This paper presents an algorithm for speckle reduction and contrast enhancement of echocardiographic images. Within a framework of multiscale wavelet analysis, we apply...
Xuli Zong, Andrew Laine, Edward A. Geiser
78
Voted
ISBI
2007
IEEE
15 years 4 months ago
Patch-Based Nonlocal Denoising for MRI and Ultrasound Images
Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...
Xin Li