Wavelet methods in statistics: Some recent developments and their applications
A Antoniadis - 2007 - projecteuclid.org
The development of wavelet theory has in recent years spawned applications in signal
processing, in fast algorithms for integral transforms, and in image and function …
processing, in fast algorithms for integral transforms, and in image and function …
Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images
Y Yue, MM Croitoru, A Bidani… - IEEE transactions on …, 2006 - ieeexplore.ieee.org
This paper introduces a novel nonlinear multiscale wavelet diffusion method for ultrasound
speckle suppression and edge enhancement. This method is designed to utilize the …
speckle suppression and edge enhancement. This method is designed to utilize the …
Image segmentation and selective smoothing by using Mumford-Shah model
S Gao, TD Bui - IEEE Transactions on Image Processing, 2005 - ieeexplore.ieee.org
Recently, Chan and Vese developed an active contour model for image segmentation and
smoothing by using piecewise constant and smooth representation of an image. Tsai et al …
smoothing by using piecewise constant and smooth representation of an image. Tsai et al …
Robust wavelet-based super-resolution reconstruction: theory and algorithm
H Ji, C Fermüller - IEEE Transactions on Pattern Analysis and …, 2008 - ieeexplore.ieee.org
We present an analysis and algorithm for the problem of super-resolution imaging, that is the
reconstruction of HR (high-resolution) images from a sequence of LR (low-resolution) …
reconstruction of HR (high-resolution) images from a sequence of LR (low-resolution) …
Image restoration: Wavelet frame shrinkage, nonlinear evolution pdes, and beyond
In the past few decades, mathematics based approaches have been widely adopted in
various image restoration problems; the partial differential equation (PDE) based approach …
various image restoration problems; the partial differential equation (PDE) based approach …
Are Adaptive Galerkin Schemes Dissipative?
RM Pereira, N Nguyen van yen, K Schneider, M Farge - SIAM Review, 2023 - SIAM
Adaptive Galerkin numerical schemes integrate time-dependent partial differential equations
with a finite number of basis functions, and a subset of them is selected at each time step …
with a finite number of basis functions, and a subset of them is selected at each time step …
Channel smoothing: Efficient robust smoothing of low-level signal features
M Felsberg, PE Forssén… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
In this paper, we present a new and efficient method to implement robust smoothing of low-
level signal features: B-spline channel smoothing. This method consists of three steps …
level signal features: B-spline channel smoothing. This method consists of three steps …
An improved hybrid model for molecular image denoising
In this paper an improved hybrid method for removing noise from low SNR molecular
images is introduced. The method provides an improvement over the one suggested by Jian …
images is introduced. The method provides an improvement over the one suggested by Jian …
[PDF][PDF] Speckle noise reduction of medical ultrasound images using Bayesshrink wavelet threshold
K Karthikeyan, C Chandrasekar - International Journal of computer …, 2011 - Citeseer
In diagnosis of diseases Ultrasonic devices are frequently used by healthcare professionals.
The main problem during diagnosis is the distortion of visual signals obtained which is due …
The main problem during diagnosis is the distortion of visual signals obtained which is due …
Jump surface estimation, edge detection, and image restoration
P Qiu - Journal of the American Statistical Association, 2007 - Taylor & Francis
Surface estimation is important in many applications. When conventional smoothing
procedures (eg, running averages, local polynomial kernel smoothing procedures …
procedures (eg, running averages, local polynomial kernel smoothing procedures …