Results 41 to 50 of about 143,665 (236)

Image Noise Removal in Ultrasound Breast Images Based on Hybrid Deep Learning Technique

open access: yesSensors, 2023
Rapid improvements in ultrasound imaging technology have made it much more useful for screening and diagnosing breast problems. Local-speckle-noise destruction in ultrasound breast images may impair image quality and impact observation and diagnosis.
Baiju Babu Vimala   +6 more
doaj   +1 more source

Wavelet-based denoising for 3D OCT images [PDF]

open access: yes, 2007
Optical coherence tomography produces high resolution medical images based on spatial and temporal coherence of the optical waves backscattered from the scanned tissue.
De Keyser, Paul   +5 more
core   +1 more source

COMPARISON OF FILTERS DEDICATED TO SPECKLE SUPPRESSION IN SAR IMAGES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
This paper presents the results of research on the effectiveness of different filtering methods dedicated to speckle suppression in SAR images. The tests were performed on RadarSat-2 images and on an artificial image treated with simulated speckle noise.
P. Kupidura
doaj   +1 more source

Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering

open access: yesIEEE Access, 2018
Speckle noise is inevitable in the process of acquiring of digital holograms. In this paper, a new approach is proposed to suppress the speckle noise in the digital hologram.
Xiaohui Huang   +4 more
doaj   +1 more source

Speckle noise reduction techniques for high-dynamic range imaging [PDF]

open access: yesComptesRendusPhysique8:349-354,2007, 2007
High-dynamic range imaging from space in the visible, aiming in particular at the detection of terrestrial exoplanets, necessitates not only the use of a coronagraph, but also of adaptive optics to correct optical defects in real time. Indeed, these defects scatter light and give birth to speckles in the image plane.
arxiv   +1 more source

On the extension of multidimensional speckle noise model from single-look to multilook SAR imagery [PDF]

open access: yes, 2007
Speckle noise represents one of the major problems when synthetic aperture radar (SAR) data are considered. Despite the fact that speckle is caused by the scattering process itself, it must be considered as a noise source due to the complexity of the ...
López Martínez, Carlos, Pottier, Eric
core   +3 more sources

Analysis of Edge Detection in Bar Code Symbols: An Overview and Open Problems

open access: yesJournal of Applied Mathematics, 2012
Accurate edge localization is essential in bar code decoding. Since speckle noise is the most dominant form of noise in laser bar code scanners, it is important to fully understand its effects on edge detection.
Saša Krešić-Jurić
doaj   +1 more source

Machine learning meets Singular Optics: Speckle-based Structured light demultiplexing [PDF]

open access: yesarXiv, 2023
In this paper, the advancements in structured light beams recognition using speckle-based convolutional neural networks (CNNs) have been presented. Speckle fields, generated by the interference of multiple wavefronts diffracted and scattered through a diffuser, project a random distribution.
arxiv  

A new denoising technique for ultrasound images using morphological properties of speckle combined with tissue classifying parameters [PDF]

open access: yes, 2002
In this paper we introduce a new speckle suppression technique for medical ultrasound images that incorporates morphological properties of speckle as well as tissue classifying parameters.
Lemahieu, Ignace   +2 more
core   +1 more source

Speckle Noise Reduction Technique for SAR Images Using Statistical Characteristics of Speckle Noise and Discrete Wavelet Transform

open access: yesRemote 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
doaj   +1 more source

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