Searching for authors named "Anastasios Bezerianos" – sorted by Relevance.
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SAR Image Denoising via Bayesian Wavelet Shrinkage Based on Heavy-Tailed Modeling
- Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of the scattering phenomenon. This paper proposes a novel Bayesian-based algorithm within the framework of wavelet analysis, which reduces speckle in SAR images while pr
- Cited by 11 (5 self) – Add To MetaCart
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Sar Image Denoising: A Multiscale Robust Statistical Approach
- Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of the scattering phenomenon. It appears sensible to reduce speckle in SAR images, provided that the structural features and textural information are not lost. We presen
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An Alpha-Stable Based Bayesian Algorithm For Speckle Noise Removal In The Wavelet Domain
- This paper introduces a novel speckle noise removal method for medical ultrasound images. First, the logarithmic transform of the original image is analyzed in the wavelet domain. We show that the subband decompositions of ultrasound images have signicant non - Gaussian statistics that are best desc
- Cited by 1 (0 self) – Add To MetaCart
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Novel Bayesian Multiscale Method for Speckle Removal in Medical Ultrasound Images
- Abstract—A novel speckle suppression method for medical ultrasound images is presented. First, the logarithmic transform of the original image is analyzed into the multiscale wavelet domain. We show that the subband decompositions of ultrasound images have significantly non-Gaussian statistics that
- Cited by 21 (8 self) – Add To MetaCart
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Wavelet Variance Analysis Of High-Resolution ECG In Patients Prone to VT/VF During Cardiac Electrophysiology Studies
- This study evaluates influence of increased heart rate on beat-to-beat variability of vector magnitude depolarisation signal in patients admitted for cardiac electrophysiology studies. Electrical variability is quantitatively assessed during normal sinus rhythm and during atrial pacing by means of t
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Identification of coupling direction: Application to cardiorespiratory interaction
- INTRODUCTION Theoretical insigths in nonlinear dynamics have been widely used in time series analysis [1]. In particular, the concepts of generalized [2] and phase [3-5] synchronization have been exploited for the identi cation of interdependencies between coupled sub(systems) from multivariate da
- Cited by 3 (1 self) – Add To MetaCart

