Results 21 to 30 of about 129,605 (253)
DeSa COVID-19: Deep salient COVID-19 image-based quality assessment
Journal of King Saud University: Computer and Information Sciences, 2022 This study offers an advanced method to evaluate the coronavirus disease 2019 (COVID-19) image quality. The salient COVID-19 image map is incorporated with the deep convolutional neural network (DCNN), namely DeSa COVID-19, which exerts the n-convex ...
Risnandar
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Benchmarking Underwater Image Enhancement and Restoration, and Beyond
IEEE Access, 2020 Image enhancement and restoration is among the most investigated topics in the field of underwater machine vision. The objective image quality assessment is a fundamental part of optimizing underwater enhancement and restoration technologies.
Guojia Hou +5 more
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Image Analysis and Stereology, 2018 Over the years image quality assessment is one of the active area of research in image processing. Distortion in images can be caused by various sources like noise, blur, transmission channel errors, compression artifacts etc. Image distortions can occur
Kanjar De, Masilamani V
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Transactions on Environment and Electrical Engineering, 2020 Image quality assessment methods are used in different image processing applications. Among them, image compression and image super-resolution can be mentioned in wireless capsule endoscopy (WCE) applications.
Kinde Anlay Fante +2 more
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Subjective and Objective Quality Assessment of Swimming Pool Images
Frontiers in Neuroscience, 2022 As the research basis of image processing and computer vision research, image quality evaluation (IQA) has been widely used in different visual task fields. As far as we know, limited efforts have been made to date to gather swimming pool image databases
Fei Lei +3 more
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A Regression-Based Family of Measures for Full-Reference Image Quality Assessment
Measurement Science Review, 2016 The advances in the development of imaging devices resulted in the need of an automatic quality evaluation of displayed visual content in a way that is consistent with human visual perception.
Oszust Mariusz
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Two Low-Level Feature Distributions Based No Reference Image Quality Assessment
Applied Sciences, 2022 No reference image quality assessment (NR IQA) aims to develop quantitative measures to automatically and accurately estimate perceptual image quality without any prior information about the reference image.
Hao Fu +4 more
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Quality Assessment of 2.5D Prints Using 2D Image Quality Metrics
Applied Sciences, 2021 Quality assessment is an important aspect in a variety of application areas. In this work, the objective quality assessment of 2.5D prints was performed. The work is done on camera captures under both diffuse (single-shot) and directional (multiple-shot)
Altynay Kadyrova +2 more
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A Comprehensive Performance Evaluation of Image Quality Assessment Algorithms
IEEE Access, 2019 Image quality assessment (IQA) algorithms aim to predict perceived image quality by human observers. Over the last two decades, a large amount of work has been carried out in the field.
Shahrukh Athar, Zhou Wang
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IEEE Access, 2020 Image quality assessment (IQA) model is designed to measure the image quality in consistent with subjective ratings by computational models. In this research, a reliable full reference color IQA model is proposed by combining the Visual saliency with ...
Chenyang Shi, Yandan Lin
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