No-reference image quality assessment based on global awareness. [PDF]
PLoS OneIn the field of computer vision, the application of hand-crafted as well as computer-learning-based methods in the field of image quality assessment has yielded remarkable results. However, in the field of no-reference image distortion, it is still challenging to accurately perceive and determine the quality of an image.
Hu Z +5 more
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No-reference color image quality assessment: from entropy to perceptual quality [PDF]
EURASIP Journal on Image and Video Processing, 2019 This paper presents a high-performance general-purpose no-reference (NR) image quality assessment (IQA) method based on image entropy. The image features are extracted from two domains.
Xiaoqiao Chen +4 more
doaj +3 more sources
No Reference, Opinion Unaware Image Quality Assessment by Anomaly Detection
Sensors, 2021 We propose an anomaly detection based image quality assessment method which exploits the correlations between feature maps from a pre-trained Convolutional Neural Network (CNN).
Marco Leonardi +3 more
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No-Reference Image Quality Assessment in the Spatial Domain
IEEE Transactions on Image Processing, 2012 We propose a natural scene statistic-based distortion-generic blind/no-reference (NR) image quality assessment (IQA) model that operates in the spatial domain. The new model, dubbed blind/referenceless image spatial quality evaluator (BRISQUE) does not compute distortion-specific features, such as ringing, blur, or blocking, but instead uses scene ...
Anish, Mittal +2 more
openaire +4 more sources
Assessing image quality in photoacoustic imaging: A metric-based and deep learning-based evaluation [PDF]
PhotoacousticsPhotoacoustic (PA) imaging offers high-resolution functional imaging in vivo, but image quality varies with acquisition hardware, reconstruction methods, and scanning conditions.
Melle Van Der Brugge +2 more
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No-reference image quality assessment based on automatic machine learning [PDF]
ITM Web of Conferences, 2022 In different applications in deep learning, due to different required features, it is necessary to design specialized Neural Network structure. However, the design of the structure largely depends on the relevant subject knowledge of researchers and lots
Qian Qi, Sang Qingbing
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No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features
Journal of Imaging, 2022 With the development of digital imaging techniques, image quality assessment methods are receiving more attention in the literature. Since distortion-free versions of camera images in many practical, everyday applications are not available, the need for ...
Domonkos Varga
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Video Quality Analysis: Steps towards Unifying Full and No Reference Cases
Standards, 2022 Video quality assessment (VQA) is now a fast-growing field, maturing in the full reference (FR) case, yet challenging in the exploding no reference (NR) case.
Pankaj Topiwala +4 more
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No-Reference Image Quality Assessment Based on a Multitask Image Restoration Network
Applied Sciences, 2023 When image quality is evaluated, the human visual system (HVS) infers the details in the image through its internal generative mechanism. In this process, the HVS integrates both local and global information about the image, utilizes contextual ...
Fan Chen, Hong Fu, Hengyong Yu, Ying Chu
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No-Reference Image Quality Assessment Based on Image Multi-Scale Contour Prediction
Applied Sciences, 2022 Accurately assessing image quality is a challenging task, especially without a reference image. Currently, most of the no-reference image quality assessment methods still require reference images in the training stage, but reference images are usually ...
Fan Wang +4 more
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