Robust estimation of spatially variable noise fields
نویسندگان
چکیده
منابع مشابه
A Robust Distributed Estimation Algorithm under Alpha-Stable Noise Condition
Robust adaptive estimation of unknown parameter has been an important issue in recent years for reliable operation in the distributed networks. The conventional adaptive estimation algorithms that rely on mean square error (MSE) criterion exhibit good performance in the presence of Gaussian noise, but their performance drastically decreases under impulsive noise. In this paper, we propose a rob...
متن کاملDirection estimation in partially unknown noise fields
A fundamental assumption for most direction nding algorithms is that the background noise is uncorrelated from sensor to sensor, or known to within a multiplicative scalar. In practice this assumption is seldom ful lled, however, the spatial noise covariance may be estimated by measuring the array covariance when no signals are present. This procedure is unavoidably subjected to errors. In this...
متن کاملRobust Estimation When More Than One Variable
In a least squares adjustment when more than one variable in an equation of condition has error, the results will be affected by unnecessary asymptotic bias unless the algorithm is properly formulated. Similar difficulties can be expected with robust estimation techniques that are based on extending least squares to a noneuclidean metric. This paper presents an algorithm for robust estimation i...
متن کاملA method for blind estimation of spatially correlated noise characteristics
In design of many image processing methods and algorithms, it is assumed that noise is i.i.d. However, noise in real life images is often spatially correlated. Ignoring this fact can lead to certain problems such as reduction of filter efficiency, misdetection of edges, etc. Thus, noise characteristics, namely, variance and spatial spectrum are to be estimated. This should be often done in a bl...
متن کاملRobust Rician noise estimation for MR images
In this paper, a new object-based method to estimate noise in magnitude MR images is proposed. The main advantage of this object-based method is its robustness to background artefacts such as ghosting. The proposed method is based on the adaptation of the Median Absolute Deviation (MAD) estimator in the wavelet domain for Rician noise. The MAD is a robust and efficient estimator initially propo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Magnetic Resonance in Medicine
سال: 2009
ISSN: 0740-3194
DOI: 10.1002/mrm.22013