Results 21 to 30 of about 839 (131)

No-Reference Image Quality Assessment with Convolutional Neural Networks and Decision Fusion

Applied Sciences, 2021
No-reference image quality assessment (NR-IQA) has always been a difficult research problem because digital images may suffer very diverse types of distortions and their contents are extremely various.
Domonkos Varga
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Blind Quality Assessment of Images Containing Objects of Interest

Sensors, 2023
To monitor objects of interest, such as wildlife and people, image-capturing devices are used to collect a large number of images with and without objects of interest.
Wentong He, Ze Luo
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No-Reference Blurred Image Quality Assessment by Structural Similarity Index

Applied Sciences, 2018
No-reference (NR) image quality assessment (IQA) objectively measures the image quality consistently with subjective evaluations by using only the distorted image.
Haopeng Zhang, Bo Yuan, Bo Dong, Zhiguo Jiang   +3 more
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Siamese-Network-Based Learning to Rank for No-Reference 2D and 3D Image Quality Assessment

IEEE Access, 2019
2D image quality assessment (IQA) and stereoscopic 3D IQA are considered as two different tasks in the literature. In this paper, we present an index for both no-reference 2D and 3D IQA.
Yuzhen Niu, Dong Huang, Yiqing Shi, Xiao Ke   +3 more
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Long-Range Dependencies and High-Order Spatial Pooling for Deep Model-Based Full-Reference Image Quality Assessment

IEEE Access, 2020
Deep Learning based image quality assessment (IQA) has been shown to greatly improve the quality score prediction accuracy of images with single distortion.
Mengyang Liu, Lai-Man Po, Xuyuan Xu, Kwok Wai Cheung, Yuzhi Zhao, Kin Wai Lau, Chang Zhou   +6 more
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A Soft-Reference Breast Ultrasound Image Quality Assessment Method That Considers the Local Lesion Area

Bioengineering, 2023
The quality of breast ultrasound images has a significant impact on the accuracy of disease diagnosis. Existing image quality assessment (IQA) methods usually use pixel-level feature statistical methods or end-to-end deep learning methods, which focus on
Ziwen Wang, Yuxin Song, Baoliang Zhao, Zhaoming Zhong, Liang Yao, Faqin Lv, Bing Li, Ying Hu   +7 more
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On the Application LBP Texture Descriptors and Its Variants for No-Reference Image Quality Assessment

Journal of Imaging, 2018
Automatic assessing the quality of an image is a critical problem for a wide range of applications in the fields of computer vision and image processing. For example, many computer vision applications, such as biometric identification, content retrieval,
Pedro Garcia Freitas, Luísa Peixoto da Eira, Samuel Soares Santos, Mylene Christine Queiroz de Farias   +3 more
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Improved Image Quality Assessment by Utilizing Pre-Trained Architecture Features with Unified Learning Mechanism

Applied Sciences, 2023
The purpose of the no-reference image quality assessment (NR-IQA) is to measure perceived image quality based on subjective judgments; however, due to the lack of a clean reference image, this is a complicated and unresolved challenge.
Jihyoung Ryu
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Deep learning-driven multi-view multi-task image quality assessment method for chest CT image

BioMedical Engineering OnLine, 2023
Background Chest computed tomography (CT) image quality impacts radiologists’ diagnoses. Pre-diagnostic image quality assessment is essential but labor-intensive and may have human limitations (fatigue, perceptual biases, and cognitive biases).
Jialin Su, Meifang Li, Yongping Lin, Liu Xiong, Caixing Yuan, Zhimin Zhou, Kunlong Yan   +6 more
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TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images

SoftwareX
Magnetic Resonance Imaging (MRI) plays a pivotal role in medical diagnostics and research as a non-invasive imaging tool. The accuracy and reliability of clinical evaluations depend heavily on the quality of MRI images, making high-quality imaging ...
Igor Stępień
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