Dictionary learning and shift-invariant sparse coding denoising for controlled-source electromagnetic data combined with complementary ensemble empirical mode …
Controlled-source electromagnetic (CSEM) data recorded in industrialized areas are
inevitably contaminated by strong cultural noise. Traditional noise attenuation methods are …
inevitably contaminated by strong cultural noise. Traditional noise attenuation methods are …
A median-Gaussian filtering framework for Moiré pattern noise removal from X-ray microscopy image
Moiré pattern noise in Scanning Transmission X-ray Microscopy (STXM) imaging introduces
significant errors in qualitative and quantitative image analysis. Due to the complex origin of …
significant errors in qualitative and quantitative image analysis. Due to the complex origin of …
A windowed Gaussian notch filter for quasi-periodic noise removal
I Aizenberg, C Butakoff - Image and Vision Computing, 2008 - Elsevier
This paper presents an efficient method of quasi-periodic noise detection and filtering.
Taking into account that periodic noise leaves peaks in the amplitude spectrum, the …
Taking into account that periodic noise leaves peaks in the amplitude spectrum, the …
Determining displacement and strain maps immune from aliasing effect with the grid method
Spatial aliasing may affect methods based on grid image processing to retrieve
displacement and strain maps in experimental mechanics. Such methods aim at estimating …
displacement and strain maps in experimental mechanics. Such methods aim at estimating …
Automated removal of quasiperiodic noise using frequency domain statistics
Digital images may be impaired by periodic or quasiperiodic noise, which manifests itself by
spurious long-range repetitive patterns. Most of the time, quasiperiodic noise is well …
spurious long-range repetitive patterns. Most of the time, quasiperiodic noise is well …
Evaluation of digital X-ray detectors for medical imaging applications
A Konstantinidis - 2011 - discovery.ucl.ac.uk
Digital x-ray detectors are now the detector of choice in many X-ray examinations. They
have been accepted into clinical practice over the past decade but there are still ongoing …
have been accepted into clinical practice over the past decade but there are still ongoing …
Automatic macroscopic density artefact removal in a Nissl‐stained microscopic atlas of whole mouse brain
Acquiring a whole mouse brain at the micrometer scale is a complex, continuous and time‐
consuming process. Because of defects caused by sample preparation and microscopy, the …
consuming process. Because of defects caused by sample preparation and microscopy, the …
Adaptive threshold based frequency domain filter for periodic noise reduction
J Varghese - AEU-international journal of electronics and …, 2016 - Elsevier
Restoration of images corrupted with periodic noise is a fundamental task in digital image
processing since periodic noise affects all imaging processes. The paper presents an …
processing since periodic noise affects all imaging processes. The paper presents an …
Adaptive Gaussian notch filter for removing periodic noise from digital images
Periodic noise corrupts digital images during acquisition and transmission stages by adding
repetitive patterns. This study introduces a new adaptive Gaussian notch filter (AGNF) in …
repetitive patterns. This study introduces a new adaptive Gaussian notch filter (AGNF) in …
De-noising CSEM data using least-squares method based on mixed basis of Fourier series and Legendre polynomials
Controlled-source electromagnetic (CSEM) surveys are widely used, but due to the
influence of instrumental or environmental factors, the data obtained from CSEM surveys are …
influence of instrumental or environmental factors, the data obtained from CSEM surveys are …