Multidimensional speckle noise model [PDF]
EURASIP Journal on Advances in Signal Processing, 2005 One of the main problems of SAR imagery is the presence of speckle noise, originated by the inherent coherent nature of this type of systems. For one-dimensional SAR systems it has been demonstrated that speckle can be considered as a multiplicative ...
Fabregas Canovas, Francisco Javier +2 more
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Fast Speckle Noise Suppression Algorithm in Breast Ultrasound Image Using Three-Dimensional Deep Learning. [PDF]
Front Physiol, 2022 The rapid development of ultrasound medical imaging technology has greatly broadened the scope of application of ultrasound, which has been widely used in the screening, diagnosis of breast diseases and so on.
Li X, Wang Y, Zhao Y, Wei Y.
europepmc +2 more sources
Signal-to-noise ratio of the bispectral analysis of speckle interferometry [PDF]
, 1988 Monte Carlo simulations of an atmospheric phase screen, based on a Kolmogorov spectrum of phase fluctuations, were performed. Speckle patterns produced from the phase screens were used to derive statistical properties of power spectra and bispectra of ...
Nakajima, Tadashi
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Contribution of speckle noise in near-infrared spectroscopy measurements. [PDF]
J Biomed Opt, 2019 Near-infrared spectroscopy (NIRS) is widely used in biomedical optics with applications ranging from basic science, such as in functional neuroimaging, to clinical, as in pulse oximetry.
Ortega-Martinez A +5 more
europepmc +3 more sources
Unsupervised speckle noise reduction technique for clinical ultrasound imaging. [PDF]
UltrasonographyPurpose Deep learning–based image enhancement has significant potential in the field of ultrasound image processing, as it can accurately model complicated nonlinear artifacts and noise, such as ultrasonic speckle patterns.
Jung D, Kang M, Park SH, Guezzi N, Yu J.
europepmc +2 more sources
Non-Local Mean Denoising Algorithm Based on Fractional Compact Finite Difference Scheme Effectively Reduces Speckle Noise in Optical Coherence Tomography Images. [PDF]
Micromachines (Basel), 2022 Optical coherence tomography (OCT) is used in various fields such, as medical diagnosis and material inspection, as a non-invasive and high-resolution optical imaging modality. However, an OCT image is damaged by speckle noise during its generation, thus
Chen H, Gao J.
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A novel algorithm for multiplicative speckle noise reduction in ex vivo human brain OCT images. [PDF]
Neuroimage, 2022 Optical coherence tomography (OCT) images of ex vivo human brain tissue are corrupted by multiplicative speckle noise that degrades the contrast to noise ratio (CNR) of microstructural compartments.
Varadarajan D +5 more
europepmc +2 more sources
Mean of Median Absolute Derivation Technique for Speckle Noise Variance Estimation in Computerised Tomography Images [PDF]
, 2015 The accurate estimation of noise variance in an image is the first important stage in image filtering using adaptive filters. In this paper, a new technique for the estimation of speckle noise present in Computerised Tomography (CT) lung image was ...
Eze, MC, Iloanusi, ON, Osuagwu, CC
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Anisotropic Diffusion Based Multiplicative Speckle Noise Removal. [PDF]
Sensors (Basel), 2019 Multiplicative speckle noise removal is a challenging task in image processing. Motivated by the performance of anisotropic diffusion in additive noise removal and the structure of the standard deviation of a compressed speckle noisy image, we address ...
Gao M, Kang B, Feng X, Zhang W, Zhang W.
europepmc +2 more sources
Multi-frame speckle reduction in OCT using supercontinuum pumped by noise-like pulses [PDF]
Journal of Innovative Optical Health Sciences, 2019 In most coherent imaging modality, speckle noise is a major cause that blurs the boundary of tissues and degrades the image contrast. By utilizing the unique properties of supercontinuum (SC) generated by noise-like pulses (NLPs) and a simple multi-frame
Chengming Wang +10 more
doaj +3 more sources