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Contrast enhancement efficacy of iodinated contrast media: Effect of molecular structure on contrast enhancement [PDF]
European Journal of Radiology Open, 2018 Purpose: To investigate the contrast enhancement in DSA images based on the X-ray absorption characteristics of iodinated contrast media. Methods: We have derived a new formula of predicting the pixel value ratio of two different contrast media and ...
Kuniharu Imai +6 more
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IceNet for Interactive Contrast Enhancement [PDF]
IEEE Access, 2021 A CNN-based interactive contrast enhancement algorithm, called IceNet, is proposed in this paper, which enables a user to adjust image contrast easily according to his or her preference.
Keunsoo Ko, Chang-Su Kim
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Contrast enhancement for ultrasound-guided interventions: when to use it and what to expect? [PDF]
Ultrasonography, 2022 The use of contrast-enhanced ultrasonography (CEUS) has recently become synonymous with high-standard ultrasonography (US). From expanding the reach of US diagnostics to improving the precision of various invasive procedures, CEUS is rapidly becoming a ...
Zeno Sparchez +4 more
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Edge-Aware Interactive Contrast Enhancement
IEEE Access, 2022 Contrast enhancement is required in many applications. Many studies have been conducted to perform contrast enhancement automatically, but most of them do not consider various personal preferences for contrast.
Keunsoo Ko, Chang-Su Kim
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Agent-Based Image Contrast Enhancement Algorithm
IEEE Access, 2023 One crucial step in several image processing and computer vision applications is Image Contrast Enhancement (ICE), whose main objective is to improve the quality of the information contained in the processed images.
Alberto Luque-Chang +3 more
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Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023 Label distribution learning (LDL) is a new machine learning paradigm for solving label ambiguity. Since it is difficult to directly obtain label distributions, many studies are focusing on how to recover label distributions from logical labels, dubbed label enhancement (LE).
Yifei Wang +5 more
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Contrast Enhancement in Gray Level Images [PDF]
مجلة التربية والعلم, 2019 Contrast enhancement is a very important step in image processing, pattern recognition and computer vision .Histogram Equalization (HE) is widely used for contrast Enhancement . This paper discussed five techniques of contrast enhancement, i.e. Histogram
Duha Sultan, Alhan Yonis
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Color Image Contrast Enhancement Using Wavelet [PDF]
Port Said Engineering Research Journal, 2015 Color image enhancement is an important research area due to the huge development in the digital image processing scope and its wide usage in many applications, and exist the needing in some applications such as engineering, military and medical imaging.
Ibrahim Elnahry
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Color Correction and Local Contrast Enhancement for Underwater Image Enhancement
IEEE Access, 2022 Underwater images suffer from various quality degradation problems such as color cast, low contrast, and blurred details. To solve these issues, a novel underwater image enhancement method that can implement color correction, detail sharpening, and ...
Songlin Jin +4 more
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Enhancing Underwater Images via Color Correction and Multiscale Fusion
Applied Sciences, 2023 Color distortion, low contrast, and blurry details are the main features of underwater images, which can have adverse effects on their quality. To address these issues, a novel enhancement method based on color correction and multiscale fusion is ...
Ning Tian +4 more
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