AERSCIEA: An Efficient and Robust Satellite Color Image Enhancement Approach
Annals of computer science and information systems, 2017 Image enhancement is an important preprocessing step in any image analysis process. It helps to catalyze the further image analysis process like Image segmentation.
Dibya Jyoti Bora
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A Novel Underwater Image Enhancement Using Optimal Composite Backbone Network
Biomimetics, 2023 Continuous exploration of the ocean has made underwater image processing an important research field, and plenty of CNN (convolutional neural network)-based underwater image enhancement methods have emerged over time.
Yuhan Chen +6 more
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Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations
Pediatric Blood &Cancer, EarlyView.ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan +18 more
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Exposing image forgery through detecting contrast enhancement [PDF]
, 2013 In this paper, a novel forensic method of exposing cut-and-paste image forgery through detecting contrast enhancement is proposed. We reveal the inter-channel correlation introduced by color image interpolation, and show how a linear or nonlinear ...
Hu, Yongjian +2 more
core
An improved gray-scale transformation method for pseudo-color image enhancement [PDF]
Компьютерная оптика, 2019 Image enhancement is a very important process of image preprocessing and it plays a critical role in the improvement of image quality and the follow-up image analysis, which makes the research of image enhancement algorithm a hot research field.
Haibo Gao, Wenjuan Zeng, Jifeng Chen
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Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin +11 more
wiley +1 more source
Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]
, 2009 In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk +7 more
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Intelligent Fault Diagnosis System using BEMD based Thermal Image Enhancement And Support Vector Machines [PDF]
This study proposes an investigation of a novel thermal image enhancement based on bi-dimensional empirical mode decomposition (BEMD) and applies this method for rotating machinery fault diagnosis system.
Tran, Van Tung
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Modified Local and Global Contrast Enhancement Algorithm for Color Satellite Image [PDF]
EPJ Web of Conferences, 2019 The quality of remotely sensed satellite images depends on the reflected electromagnetic radiation from the earth’s surface features. Lack of consistent and similar amounts of energy reflected by different features from the earth’s surface results in a ...
Voronin Viacheslav
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source