Results 21 to 30 of about 1,689,718 (367)
SSN2V: unsupervised OCT denoising using speckle split
Denoising in optical coherence tomography (OCT) is important to compensate the low signal-to-noise ratio originating from laser speckle. In recent years learning algorithms have been established as the most powerful denoising approach.
Julia Schottenhamml +6 more
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Ultrasonography is an extensively used medical imaging technique for multiple reasons. It works on the basic theory of echoes from the tissues under consideration.
Dilna Kaitheri Thacharedath +1 more
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SAR Ship Image Speckle Noise Suppression Algorithm Based on Adaptive Bilateral Filter
Aiming at the shortcomings of traditional bilateral filtering in suppressing speckle noise in SAR ship images, especially strong speckle noise and loss of image edge details, it proposes an improved bilateral filtering algorithm based on fast adaptive ...
Hui Li, Xuliang Duan
semanticscholar +1 more source
Ultrasonography is non-invasive and painless. In Ultrasonography the images are often affected with Speckle noise. It is a multiplicative noise. To help the doctors to identify the abnormalities properly there are several methods to diagnose as speckle ...
S. Pradeep, P. Nirmaladevi
semanticscholar +1 more source
Edge Enhancing Accelerated Diffusion Model for Speckle Denoising in Medical Imagery [PDF]
Speckle noise occurs in a wide range of medical images due to sampling and digital degradation. Removing speckle noise from medical images is the key for further automated processing techniques like segmentation, and can help the clinicians with better ...
Bagchi Misra Arundhati +2 more
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Reduction of Multiplicative Noise in Radar Images
Introduction. A radar image is an image obtained by remote sensing the earth's surface with a radar device. Radar images are characterized by background graininess caused by speckle noise, which should be filtered to improve the quality of radar images ...
A. A. Tuzova, V. A. Pavlov, A. A. Belov
doaj +1 more source
Speckle noise reduction in coherent imaging systems via hybrid median–mean filter
. Images recorded by coherent imaging systems, including laser-based photography, digital holography (DH), and digital holographic microscopy (DHM), are severely distorted by speckle noise.
R. Castaneda +2 more
semanticscholar +1 more source
Towards Reduced CNNs for De-Noising Phase Images Corrupted with Speckle Noise
Digital holography is a very efficient technique for 3D imaging and the characterization of changes at the surfaces of objects. However, during the process of holographic interferometry, the reconstructed phase images suffer from speckle noise.
Marie Tahon, S. Montrésor, P. Picart
semanticscholar +1 more source
Polarimetric SAR Speckle Noise Model [PDF]
Synthetic aperture radar (SAR) data are affected by speckle noise, originated by the SAR system’s coherent nature. The problem of speckle noise in one-dimensional (1-D) data is already solved, as speckle has a multiplicative characteristic. SAR polarimetry represents an extension to multidimensional data by the use of polarization wave diversity.
López Martínez, Carlos +1 more
openaire +3 more sources
Speckle Decorrelation and Dynamic Range in Speckle Noise–limited Imaging [PDF]
The useful dynamic range of an image in the diffraction limited regime is usually limited by speckles caused by residual phase errors in the optical system forming the image. The technique of speckle decorrelation involves introducing many independent realizations of additional phase error into a wavefront during one speckle lifetime, changing the ...
Sivaramakrishnan, Anand +3 more
openaire +2 more sources

