Results 11 to 20 of about 839 (131)
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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No-Reference Image Quality Assessment Based on Dual-Domain Feature Fusion
Entropy, 2020 Image quality assessment (IQA) aims to devise computational models to evaluate image quality in a perceptually consistent manner. In this paper, a novel no-reference image quality assessment model based on dual-domain feature fusion is proposed, dubbed ...
Yueli Cui
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Journal of Imaging, 2022 Digital images can be distorted or contaminated by noise in various steps of image acquisition, transmission, and storage. Thus, the research of such algorithms, which can evaluate the perceptual quality of digital images consistent with human quality ...
Domonkos Varga
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Conv-Former: A Novel Network Combining Convolution and Self-Attention for Image Quality Assessment
Sensors, 2022 To address the challenge of no-reference image quality assessment (NR-IQA) for authentically and synthetically distorted images, we propose a novel network called the Combining Convolution and Self-Attention for Image Quality Assessment network (Conv ...
Lintao Han +6 more
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Goal oriented image quality assessment
IET Image Processing, 2022 The area of image quality assessment(IQA) is an active research area in image processing and computer vision. All IQA algorithms reported in literature are attempting to quantify only the visual quality of the images/videos. An interesting question to be
Kiruthika S., Dr. Masilamani V.
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Journal of Imaging, 2023 Given the reference (distortion-free) image, full-reference image quality assessment (FR-IQA) algorithms seek to assess the perceptual quality of the test image.
Domonkos Varga
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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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Adaptive No-Reference Image Quality Assessment Based on Multi-Scale Pyramid Pooling [PDF]
Jisuanji gongchengIn the Image Quality Assessment (IQA), no-reference quality assessment methods have demonstrated significant application value and development potential for managing distorted images in real-world scenarios.
WU Xuesong, CHEN Yuanyuan, ZHOU Tao
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Pairwise Learning to Rank for Image Quality Assessment
IEEE Access, 2020 Because the pairwise comparison is a natural and effective way to obtain subjective image quality scores, we propose an objective full-reference image quality assessment (FR-IQA) index based on pairwise learning to rank (PLR).
Yiqing Shi +4 more
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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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