Asymptotic performance analysis of information-theoretic criteria for determining the number of signals in spatially correlated noise

1994 ◽  
Vol 42 (6) ◽  
pp. 1537-1539 ◽  
Author(s):  
Q.T. Zhang
Keyword(s):  
Performance Analysis ◽  
Correlated Noise ◽  
Asymptotic Performance ◽  
Information Theoretic ◽  
Spatially Correlated ◽  
Information Theoretic Criteria ◽  
Spatially Correlated Noise

AUTOMATIC ESTIMATION OF SPATIALLY CORRELATED NOISE VARIANCE IN SPECTRAL DOMAIN FOR IMAGES

2014 ◽  
Vol 73 (6) ◽  
pp. 511-527 ◽  
Author(s):  
V.V. Abramova ◽  
S. K. Abramov ◽  
V. V. Lukin ◽  
A. A. Roenko ◽  
Benoit Vozel
Keyword(s):  
Spectral Domain ◽  
Correlated Noise ◽  
Noise Variance ◽  
Spatially Correlated ◽  
Automatic Estimation ◽  
Spatially Correlated Noise

Adaptive DCT-based filtering of images corrupted by spatially correlated noise

2008 ◽  
Author(s):  
Nikolay N. Ponomarenko ◽  
Vladimir V. Lukin ◽  
Aleksandr A. Zelensky ◽  
Jaakko T. Astola ◽  
Karen O. Egiazarian
Keyword(s):  
Correlated Noise ◽  
Spatially Correlated ◽  
Spatially Correlated Noise

scholarly journals Ring artifact reduction via multiscale nonlocal collaborative filtering of spatially correlated noise

2021 ◽  
Vol 28 (3) ◽  
Author(s):  
Ymir Mäkinen ◽  
Stefano Marchesini ◽  
Alessandro Foi
Keyword(s):  
Multiple Scales ◽  
Simulated Data ◽  
Block Matching ◽  
Artifact Reduction ◽  
Correlated Noise ◽  
Spatially Correlated ◽  
Ring Artifact ◽  
Fully Automatic ◽  
Micro Tomography ◽  
Spatially Correlated Noise

X-ray micro-tomography systems often suffer severe ring artifacts in reconstructed images. These artifacts are caused by defects in the detector, calibration errors, and fluctuations producing streak noise in the raw sinogram data. In this work, these streaks are modeled in the sinogram domain as additive stationary correlated noise upon logarithmic transformation. Based on this model, a streak removal procedure is proposed where the Block-Matching and 3-D (BM3D) filtering algorithm is applied across multiple scales, achieving state-of-the-art performance in both real and simulated data. Specifically, the proposed fully automatic procedure allows for attenuation of streak noise and the corresponding ring artifacts without creating major distortions common to other streak removal algorithms.

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