Speckle Noise Reduction in Ultrasound Images
Abstract: Ultrasound Imaging is used to examine various organs in the Human Body. However, in the process of obtaining a Ultrasound Image, Speckle noise is generated due to backscattered echo signals. So, a noise reduction method is required. To improve the speckle noise reduction, we propose a novel algorithm using characteristics of speckle noise and
Dr. S. Suryanarayana
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Compressed Sensing in the Presence of Speckle Noise [PDF]
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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Despeckling Algorithm for Removing Speckle Noise from Ultrasound Images [PDF]
Ultrasound (US) imaging can examine human bodies of various ages; however, in the process of obtaining a US image, speckle noise is generated. The speckle noise inhibits physicians from accurately examining lesions; thus, a speckle noise removal method ...
Hyun-Ho Choi, Jechang Jeong
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Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition. [PDF]
Real signals are usually contaminated with various types of noise. This phenomenon has a negative impact on the operation of systems that rely on signals processing.
Grabek J, Cyganek B.
europepmc +2 more sources
Speckle Noise Removal in Image-based Detection of Refractive Index Changes in Porous Silicon Microarrays. [PDF]
Based on porous silicon (PSi) microarray images, we propose a new method called the phagocytosis algorithm (PGY) for removing the influence of speckle noise on image gray values.
Ren R +5 more
europepmc +2 more sources
Speckle noise reduction in optical coherence tomography images based on edge-sensitive cGAN. [PDF]
Speckle noise in optical coherence tomography (OCT) impairs both the visual quality and the performance of automatic analysis. Edge preservation is an important issue for speckle reduction.
Ma Y +5 more
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Physics-Informed Generative Adversarial Networks for Laser Speckle Noise Suppression [PDF]
In high-resolution microscopic imaging, using shorter-wavelength ultraviolet (UV) lasers as illumination sources is a common approach. However, the high spatial coherence of such lasers, combined with the surface roughness of the sample, often introduces
Xiangji Guo +4 more
doaj +2 more sources
Real Time Speckle Image De-Noising [PDF]
The paper presents real time speckle de-noising based on activity computation algorithm and wavelet transform. Speckles arise in an image when laser light is reflected from an illuminated surface. The process involves detection of speckles in an image by obtaining a number of frames of the same object under different illumination or angle and comparing
Dinesh Kumar +3 more
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Speckle Noise Suppression in SAR Images Using a Three-Step Algorithm. [PDF]
Speckle noise can reduce the image quality of synthetic aperture radar (SAR) and complicate image interpretation. This study proposes a novel three-step approach based on the conventional probabilistic patch-based (PPB) algorithm to minimize the impact ...
Yu Z, Wang W, Li C, Liu W, Yang J.
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Noise adaptive wavelet thresholding for speckle noise removal in optical coherence tomography. [PDF]
Optical coherence tomography (OCT) is based on coherence detection of interferometric signals and hence inevitably suffers from speckle noise. To remove speckle noise in OCT images, wavelet domain thresholding has demonstrated significant advantages in ...
Zaki F, Wang Y, Su H, Yuan X, Liu X.
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