Results 21 to 30 of about 13,144 (256)
SSN2V: unsupervised OCT denoising using speckle split
Scientific Reports, 2023 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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Compressed Sensing in the Presence of Speckle Noise
IEEE Transactions on Information Theory, 2022 The problem of recovering a structured signal from its linear measurements in the presence of speckle noise is studied. This problem appears in many imaging systems such as synthetic aperture radar and optical coherence tomography. The current acquisition technology oversamples signals and converts the problem into a denoising problem with ...
Wenda Zhou, Shirin Jalali, Arian Maleki
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Open Computer Science, 2021 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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Edge Enhancing Accelerated Diffusion Model for Speckle Denoising in Medical Imagery [PDF]
ITM Web of Conferences, 2019 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
Известия высших учебных заведений России: Радиоэлектроника, 2021 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
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Non-Local SAR Image Despeckling Based on Sparse Representation
Remote Sensing, 2023 Speckle noise is an inherent problem of synthetic aperture radar (SAR) images, which not only seriously affects the acquisition of SAR image information, but also greatly reduces the efficiency of image segmentation and feature classification. Therefore,
Houye Yang, Jindong Yu, Zhuo Li, Ze Yu
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Entropy Based Parameter Estimation of 2D Gaussian Filter for Image Speckle Noise Removal [PDF]
AUT Journal of Electrical Engineering, 2021 In this paper, a speckle noise suppression algorithm based on the 2D Gaussian filter is addressed, which employs entropy to estimate the filter's variance effectively.
Zahra Hosseini +1 more
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Speckle Decorrelation and Dynamic Range in Speckle Noise–limited Imaging [PDF]
The Astrophysical Journal, 2002 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
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Speckle Noise Removal for Synthetic Aperture Radar Imagery Based on Statistics Filters and Nonlinearing Function [PDF]
Engineering and Technology Journal, 2012 Synthetic Aperture Radar (SAR) images are contaminated by multiplicative noise, due to the coherence of the radar wavelength, labeled as speckle noise which results in an important reduction in the efficiency of target detection and classification ...
E kbal H. Ali
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Heliyon, 2023 Optical coherence tomography (OCT) imaging is a technique that is frequently used to diagnose medical conditions. However, coherent noise, sometimes referred to as speckle noise, can dramatically reduce the quality of OCT images, which has an adverse ...
Ying Fang +3 more
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