Results 71 to 80 of about 1,058,511 (183)
A No Reference Image Quality Assessment Metric Based on Visual Perception
Algorithms, 2016 Nowadays, how to evaluate image quality reasonably is a basic and challenging problem. In view of the present no reference evaluation methods, they cannot reflect the human visual perception of image quality accurately.
Yan Fu, Shengchun Wang
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No-reference quality assessment for image-based assessment of economically important tropical woods.
PLoS ONE, 2020 Image Quality Assessment (IQA) is essential for the accuracy of systems for automatic recognition of tree species for wood samples. In this study, a No-Reference IQA (NR-IQA), wood NR-IQA (WNR-IQA) metric was proposed to assess the quality of wood images.
Heshalini Rajagopal +3 more
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No-Reference Hyperspectral Image Quality Assessment via Ranking Feature Learning
Remote SensingIn hyperspectral image (HSI) reconstruction tasks, due to the lack of ground truth in real imaging processes, models are usually trained and validated on simulation datasets and then tested on real measurements captured by real HSI imaging systems ...
Yuyan Li +5 more
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Assessment of occlusive arterial disease of abdominal aorta and lower extremities arteries: value of multidetector CT angiography using an adaptive acquisition method [PDF]
, 2018 We evaluated 16-detector-row CT in the assessment of occlusive peripheral arterial disease (PAD) of the abdominal aorta and lower extremities using an adaptive method of acquisition to optimise arterial enhancement especially for the distal foot arteries.
Denys, A. +6 more
core
, 2017 When use the image mutual information to assess the quality of reconstructed image in pseudo-thermal light ghost imaging, a negative exponential behavior with respect to the measurement number is observed. Based on information theory and a few simple and
Guo, Hong +5 more
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EngDeepfake technology, which utilizes advanced AI models such as Generative Adversarial Networks (GANs), has led to the proliferation of highly convincing manipulated media, posing significant challenges for detection.
Jiajun Jiang +3 more
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Enhancing retinal images by nonlinear registration
, 2014 Being able to image the human retina in high resolution opens a new era in many important fields, such as pharmacological research for retinal diseases, researches in human cognition, nervous system, metabolism and blood stream, to name a few.
Chenegros, Guillaume +3 more
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RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment
, 2017 Inspired by the free-energy brain theory, which implies that human visual system (HVS) tends to reduce uncertainty and restore perceptual details upon seeing a distorted image, we propose restorative adversarial net (RAN), a GAN-based model for no ...
Chen, Diqi, Ren, Hongyu, Wang, Yizhou
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NO REFERENCE IMAGE QUALITY ASSESSMENT [PDF]
, 2019 A no-reference image quality assessment (NR-IQA) technique can measure the visual distortion in an image without any reference image data. NR-IQA aims to predict the image quality based on the quality perceived by the Human Visual System (HVS).
Ravela, Ravi S
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Sparse representation of salient regions for no-reference image quality assessment
International Journal of Advanced Robotic Systems, 2016 This paper introduces an efficient feature learning framework via sparse coding for no-reference image quality assessment. The important part of the proposed framework is based on sparse feature extraction from a sparse representation matrix, which is ...
Tianpeng Feng +5 more
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