Total variation‐based ultrasound image despeckling using method noise thresholding in non‐subsampled contourlet transform
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22851
Abstract: Medical diagnostics rely heavily on ultrasound imaging since it is non‐invasive, inexpensive, and able to provide images in real time. However, the inherent existence of a kind of signal‐dependent noise in these images diminishes the… read more here.
Keywords: total variation; noise; transform; ultrasound imaging ... See more keywords
DHNet: High-resolution and hierarchical network for cross-domain oct speckle noise reduction.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15712
Abstract: PURPOSE Optical coherence tomography (OCT) imaging uses the principle of Michelson interferometry to obtain high-resolution images by coherent superposing of multiple forward and backward scattered light waves with random phases. This process inevitably produces speckle… read more here.
Keywords: dhnet; high resolution; resolution; speckle noise ... See more keywords
A Nonlinear Diffusion Equation-Based Model for Ultrasound Speckle Noise Removal
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Nonlinear Science"
DOI: 10.1007/s00332-017-9414-1
Abstract: Ultrasound images are contaminated by speckle noise, which brings difficulties in further image analysis and clinical diagnosis. In this paper, we address this problem in the view of nonlinear diffusion equation theories. We develop a… read more here.
Keywords: diffusion; speckle noise; diffusion equation; model ... See more keywords
Reduction of speckle noise in digital holography by combination of averaging several reconstructed images and modified nonlocal means filtering
Sign Up to like & getrecommendations! Published in 2018 at "Optics Communications"
DOI: 10.1016/j.optcom.2018.05.004
Abstract: Abstract Although the speckle noise in hologram reconstructed image can be effectively suppressed by averaging multiple reconstructions with different speckle patterns, the approach usually needs a lot of the reconstructions and encounters an improvement limit.… read more here.
Keywords: averaging several; several reconstructed; speckle noise; reconstructed images ... See more keywords
Reduction of laser speckle noise by using particle-dispersed liquid crystals
Sign Up to like & getrecommendations! Published in 2017 at "Molecular Crystals and Liquid Crystals"
DOI: 10.1080/15421406.2017.1284540
Abstract: ABSTRACT Laser speckle noise occurs owing to the strong interference that originates in the high coherency of laser light and the surface topography of screen. The suppression of the speckle noise is necessary for laser… read more here.
Keywords: liquid crystals; laser speckle; noise; speckle noise ... See more keywords
A Trilateral Filter for Video SAR Speckle Noise Reduction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3174834
Abstract: This letter proposes a trilateral filtering algorithm for speckle reduction in video synthetic aperture radar (video SAR). The novel filter takes traditional bilateral filter as the basic framework, so as to fully exploit the similarities… read more here.
Keywords: video sar; filter; trilateral filter; speckle noise ... See more keywords
Non-Convex High-Order TV and ℓ0-Norm Wavelet Frame-Based Speckle Noise Reduction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3197237
Abstract: To obtain natural restorations from the noisy images contaminated by speckle noise, this brief presents a novel hybrid non-convex regularizers model for image denoising. The proposed new variational model closely combines the superiorities of non-convex… read more here.
Keywords: noise; non convex; high order; inline formula ... See more keywords
Video SAR Image Despeckling by Unsupervised Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3045284
Abstract: It has long been recognized that synthetic aperture radar (SAR) images suffer in many applications from the speckle noise. Video SAR has a high frame rate of imaging and contains redundant information among frames. The… read more here.
Keywords: video sar; image despeckling; sar image; speckle noise ... See more keywords
GradDT: Gradient-Guided Despeckling Transformer for Industrial Imaging Sensors
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3199274
Abstract: The speckle noise is a granular disturbance that often brings negative side effects on the detection and recognition of targets of interest in industrial imaging sensors. From the statistical point of view, this type of… read more here.
Keywords: industrial imaging; noise; imaging sensors; gradient guided ... See more keywords
Experimental Quantification of Noise in Linear Ultrasonic Imaging
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"
DOI: 10.1109/tuffc.2018.2874720
Abstract: An efficient procedure for experimental-based quantification of statistical distributions of both the random and microstructural speckle noise within an ultrasonic image is presented. This is of particular interest in the multiview total focusing method, which… read more here.
Keywords: experimental quantification; image; noise parameters; noise ... See more keywords
Effectual accuracy of OCT image retinal segmentation with the aid of speckle noise reduction and boundary edge detection strategy
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Microscopy"
DOI: 10.1111/jmi.13152
Abstract: Optical coherence tomography (OCT) has shown to be a valuable imaging tool in the field of ophthalmology, and it is becoming increasingly relevant in the field of neurology. Several OCT image segmentation methods have been… read more here.
Keywords: oct image; segmentation; speckle noise; retinal segmentation ... See more keywords