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2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges
IEEE Access, 2019 Image quality is important not only for the viewing experience, but also for the performance of image processing algorithms. Image quality assessment (IQA) has been a topic of intense research in the fields of image processing and computer vision.
Yuzhen Niu +4 more
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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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Theme-Aware Semi-Supervised Image Aesthetic Quality Assessment
Mathematics, 2022 Image aesthetic quality assessment (IAQA) has aroused considerable interest in recent years and is widely used in various applications, such as image retrieval, album management, chat robot and social media.
Xiaodan Zhang +3 more
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Boosting in image quality assessment [PDF]
2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), 2016 In this paper, we analyze the effect of boosting in image quality assessment through multi-method fusion. Existing multi-method studies focus on proposing a single quality estimator. On the contrary, we investigate the generalizability of multi-method fusion as a framework.
Temel, Dogancan, AlRegib, Ghassan
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Konx: cross-resolution image quality assessment
Quality and User Experience, 2023 AbstractScale-invariance is an open problem in many computer vision subfields. For example, object labels should remain constant across scales, yet model predictions diverge in many cases. This problem gets harder for tasks where the ground-truth labels change with the presentation scale.
Oliver Wiedemann +3 more
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Content-Aware Retargeted Image Quality Assessment
Information, 2019 In targeting the low correlation between existing image scaling quality assessment methods and subjective awareness, a content-aware retargeted image quality assessment algorithm is proposed, which is based on the structural similarity index.
Tingting Zhang +3 more
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Reduced reference image and video quality assessments: review of methods
EURASIP Journal on Image and Video Processing, 2022 With the growing demand for image and video-based applications, the requirements of consistent quality assessment metrics of image and video have increased.
Shahi Dost +5 more
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A ParaBoost Stereoscopic Image Quality Assessment (PBSIQA) System [PDF]
, 2016 The problem of stereoscopic image quality assessment, which finds applications in 3D visual content delivery such as 3DTV, is investigated in this work.
Ko, Hyunsuk, Kuo, C. -C. Jay, Song, Rui
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Image Quality Assessment Using Contrastive Learning
IEEE Transactions on Image Processing, 2022 We consider the problem of obtaining image quality representations in a self-supervised manner. We use prediction of distortion type and degree as an auxiliary task to learn features from an unlabeled image dataset containing a mixture of synthetic and realistic distortions.
Pavan C. Madhusudana +4 more
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No-Reference Image Quality Assessment Method Based on Visual Parameters
Journal of Electronic Science and Technology, 2019 Recent studies on no-reference image quality assessment (NR-IQA) methods usually learn to evaluate the image quality by regressing from human subjective scores of the training samples. This study presented an NR-IQA method based on the basic image visual
Yu-Hong Liu, Kai-Fu Yang, Hong-Mei Yan
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