Results 11 to 20 of about 474,030 (289)
Blind Night-Time Image Quality Assessment: Subjective and Objective Approaches
IEEE Transactions on Multimedia, 2020 Blind image quality assessment (BIQA) aims to develop quantitative measures to automatically and accurately estimate the visual quality of an image without any prior information about its reference image. This issue has been attracting a great deal of attention for a long time; however, little work has been done on night-time images, which are ...
Tao Xiang, Ying Yang, Shangwei Guo
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Subjective quality assessment of computed radiography hand images [PDF]
Journal of Digital Imaging, 1996 To evaluate the sensitivity of a non-receiver-operating characteristic (ROC) study in assessing small differences of perceived image quality of hand images acquired by computed radiography (CR) and conventional screen-film systems, hand images were acquired on 12 patients with both conventional screen-film and CR.
C A, Britton +6 more
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IEEE Access, 2020 Aesthetic appeal and image quality are two important features of photographs, which play the dominant role when people clean their albums. Currently, the objective image quality assessment has been documented very well whereas the objective aesthetic ...
Tingting Zhang +3 more
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Subjective Assessment of Image Quality Induced Saliency Variation [PDF]
2019 IEEE International Conference on Image Processing (ICIP), 2019 Our previous study has shown that image distortions cause saliency distraction, and that visual saliency of a distorted image differs from that of its distortion-free reference. Being able to measure such distortion-induced saliency variation (DSV) significantly benefits algorithms for automated image quality assessment.
Leveque, Lucie, Zhang, Wei, Liu, Hantao
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Heliyon, 2021 Hazy images suffer from low quality due to blurring, veiling effects, and low contrast. To improve their visibility, dehazing methods attempt to restore them to their corresponding clear scenes, often by focusing more on obtaining an accurate estimate ...
Laksmita Rahadianti +2 more
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Subjective Annotation for a Frame Interpolation Benchmark using Artefact Amplification [PDF]
, 2020 Current benchmarks for optical flow algorithms evaluate the estimation either directly by comparing the predicted flow fields with the ground truth or indirectly by using the predicted flow fields for frame interpolation and then comparing the ...
Bruhn, Andrés +4 more
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Quantifying image distortion based on Gabor filter bank and multiple regression analysis [PDF]
, 2012 Image quality assessment is indispensable for image-based applications. The approaches towards image quality assessment fall into two main categories: subjective and objective methods. Subjective assessment has been widely used.
Castellanos Dominguez, German +5 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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Tomography, 2023 In this study, we assess image quality in computed tomography scans reconstructed via DLIR (Deep Learning Image Reconstruction) and compare it with iterative reconstruction ASIR-V (Adaptive Statistical Iterative Reconstruction) in CT (computed tomography)
Michal Pula +3 more
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A Hybrid Method for Objective Quality Assessment of Binary Images
IEEE Access, 2023 In the paper, a novel hybrid method for an automatic quality assessment of binary images is proposed that may be useful, e.g., for computationally limited embedded systems or Optical Character Recognition applications.
Krzysztof Okarma, Mateusz Kopytek
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