Results 51 to 60 of about 1,447,541 (185)
Neural Network System for Recognizing Images Affected by Random-Valued Impulse Noise
Applied Sciences, 2023 Images taken with different sensors and transmitted through different channels can be noisy. In such conditions, the image most often suffers from random-valued impulse noise.
Anzor Orazaev +3 more
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Impulsive noise removal from color images with morphological filtering
, 2017 This paper deals with impulse noise removal from color images. The proposed noise removal algorithm employs a novel approach with morphological filtering for color image denoising; that is, detection of corrupted pixels and removal of the detected noise ...
A Jakhar +12 more
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CT Lilun yu yingyong yanjiuIn this study, we systematically evaluated the iodine quantification accuracy and image noise suppression capabilities of a deep learning reconstruction algorithm (ClearInfinity, CI) under 60 kVp ultra-low tube voltage computed tomography (CT) conditions,
Boxuan CAO +9 more
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On a Stochastic Regularization Technique for Ill-Conditioned Linear Systems
Open Engineering, 2019 Knowledge about the input–output relations of a system can be very important in many practical situations in engineering. Linear systems theory comes from applied mathematics as an efficient and simple modeling technique for input–output systems ...
Moura Henrique Gomes +3 more
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A Camera Reference Pattern Noise Extraction Algorithm for Image Source Detection [PDF]
Jisuanji gongcheng, 2017 Camera reference pattern noise is computed by averaging sensor pattern noise values of all images in the traditional camera reference pattern noise extraction algorithm.However,the traditional method cannot filter the interpolation noise and not consider
CHEN Lingxiang,KE Yongzhen,SUN Yuting
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Low-frequency noise impact on CMOS image sensors [PDF]
, 2009 CMOS image sensors are nowadays extensively used in imaging applications even for high-end applications. This is really possible thanks to a reduction of noise obtained, among others, by Correlated Double Sampling (CDS) readout.
Magnan, Pierre +1 more
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Image Noise and Digital Image Forensics [PDF]
, 2016 Noise is an intrinsic specificity of all forms of imaging, and can be found in various forms in all domains of digital imagery. This paper offers an overall review of digital image noise, from its causes and models to the degradations it suffers along the image acquisition pipeline.
Julliand, Thibaut +2 more
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BioengineeringAccurate segmentation in medical imaging is essential for disease diagnosis and monitoring, particularly in lung imaging using proton and hyperpolarized gas MRI.
Ramtin Babaeipour +3 more
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Frontiers in Physiology, 2022 The rapid development of ultrasound medical imaging technology has greatly broadened the scope of application of ultrasound, which has been widely used in the screening, diagnosis of breast diseases and so on.
Xiaofeng Li +3 more
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Collocation Method for Multiplicative Noise Removal Model
Mehran University Research Journal of Engineering and Technology, 2020 Image denoising is a fundamental problem in both image processing and computer vision with numerous applications. It can be formulated as an inverse problem. Variational methods are commonly used to solve noise removal problems.
Mushtaq Ahmad Khan +4 more
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