Results 41 to 50 of about 531,050 (289)
Multi-Branch Deep Residual Network for Single Image Super-Resolution
Algorithms, 2018 Recently, algorithms based on the deep neural networks and residual networks have been applied for super-resolution and exhibited excellent performance.
Peng Liu, Ying Hong, Yan Liu
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Similarity index of the STFT-based health diagnosis of variable speed rotating machines
Intelligent Systems with Applications, 2023 Fault diagnosis and health monitoring of industrial rotating machines are of paramount importance for ensuring the reliability, safety, and efficiency of modern industrial operations.
Muhammad Ahsan, Mostafa M. Salah
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, 2013 In this paper, we propose a so-called probabilistic non-local means (PNLM) method for image denoising. Our main contributions are: 1) we point out defects of the weight function used in the classic NLM; 2) we successfully derive all theoretical ...
Natarajan, Premkumar +3 more
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Blockwise SURE Shrinkage for Non-Local Means
, 2013 In this letter, we investigate the shrinkage problem for the non-local means (NLM) image denoising. In particular, we derive the closed-form of the optimal blockwise shrinkage for NLM that minimizes the Stein's unbiased risk estimator (SURE).
Natarajan, Premkumar +3 more
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The fidelity of compressed and interpolated medical images
Technical Transactions, 2020 Due to the amount of medical image data being produced and transferred over networks, employing lossy compression has been accepted by worldwide regulatory bodies. As expected, increasing the degree of compression leads to decreasing image fidelity.
Urbaniak Ilona Anna, Wolter Marcin
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Texture Smoothing Quality Assessment via Information Entropy
IEEE Access, 2020 Image texture smoothing (ITS) aims at completely removing textures while preserving as much as possible different-scale structures of an image. However, few quality assessment metrics have been formulated to objectively evaluate the ITS results, due to ...
Chong Liu +3 more
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Recovery of Missing Samples Using Sparse Approximation via a Convex Similarity Measure
, 2017 In this paper, we study the missing sample recovery problem using methods based on sparse approximation. In this regard, we investigate the algorithms used for solving the inverse problem associated with the restoration of missed samples of image signal.
Javaheri, Amirhossein +2 more
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Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation
, 2015 Magnetic resonance imaging (MRI) is a versatile imaging technique that allows different contrasts depending on the acquisition parameters. Many clinical imaging studies acquire MRI data for more than one of these contrasts---such as for instance T1 and ...
Betcke, Marta M., Ehrhardt, Matthias J.
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The Evaluation Of Molecular Similarity And Molecular Diversity Methods Using Biological Activity Data [PDF]
, 2004 This paper reviews the techniques available for quantifying the effectiveness of methods for molecule similarity and molecular diversity, focusing in particular on similarity searching and on compound selection procedures.
Willett, P.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source