Strategies for reducing speckle noise in digital holography [PDF]
Light: Science and Applications, 2018 AbstractDigital holography (DH) has emerged as one of the most effective coherent imaging technologies. The technological developments of digital sensors and optical elements have made DH the primary approach in several research fields, from quantitative phase imaging to optical metrology and 3D display technologies, to name a few.
Vittorio Bianco +2 more
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Anisotropic Diffusion Based Multiplicative Speckle Noise Removal [PDF]
Sensors, 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 ...
Mei Gao +4 more
doaj +6 more sources
Fast Speckle Noise Suppression Algorithm in Breast Ultrasound Image Using Three-Dimensional Deep Learning [PDF]
Frontiers in Physiology, 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.
Xiaofeng Li +3 more
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Speckle Noise Reduction Technique for SAR Images Using Statistical Characteristics of Speckle Noise and Discrete Wavelet Transform [PDF]
Remote Sensing, 2019 Synthetic aperture radar (SAR) images map Earth’s surface at high resolution, regardless of the weather conditions or sunshine phenomena. Therefore, SAR images have applications in various fields.
Hyunho Choi, Jechang Jeong
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Deep-learning-based on convolutional neural networks (CNN) has been widely applied in synthetic aperture radar (SAR) target recognition and made significant progress.
Yikui Zhai +8 more
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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.
Divya Varadarajan +5 more
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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
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 ...
Fàbregas Xavier +2 more
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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.
Dongkyu Jung +4 more
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Non-Local Mean Denoising Algorithm Based on Fractional Compact Finite Difference Scheme Effectively Reduces Speckle Noise in Optical Coherence Tomography Images [PDF]
Micromachines, 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
Huaiguang Chen, Jing Gao
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