Results 21 to 30 of about 3,132,262 (326)
REMOTE SENSING IMAGE QUALITY ASSESSMENT EXPERIMENT WITH POST-PROCESSING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 This paper briefly describes the post-processing influence assessment experiment, the experiment includes three steps: the physical simulation, image processing, and image quality assessment.
W. Jiang +5 more
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Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild [PDF]
Computer Vision and Pattern Recognition, 2023 Automatic Perceptual Image Quality Assessment is a challenging problem that impacts billions of internet, and social media users daily. To advance research in this field, we propose a Mixture of Experts approach to train two separate encoders to learn ...
Avinab Saha, Sandeep Mishra, A. Bovik
semanticscholar +1 more source
Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2019 We propose a deep bilinear model for blind image quality assessment that works for both synthetically and authentically distorted images. Our model constitutes two streams of deep convolutional neural networks (CNNs), specializing in two distortion ...
Weixia Zhang +4 more
semanticscholar +1 more source
Data-Efficient Image Quality Assessment with Attention-Panel Decoder [PDF]
AAAI Conference on Artificial Intelligence, 2023 Blind Image Quality Assessment (BIQA) is a fundamental task in computer vision, which however remains unresolved due to the complex distortion conditions and diversified image contents.
Guanyi Qin +6 more
semanticscholar +1 more source
Journal of Imaging, 2022 The main purpose of this paper is the study of the correlations between Image Aesthetic (IA) and Image Naturalness (IN) and the analysis of the influence of IA and IN on Image Quality (IQ) in different contexts.
Quyet-Tien Le +3 more
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CRITICAL REFLECTION ON QUANTITATIVE ASSESSMENT OF IMAGE FUSION QUALITY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Image fusion technique has been extended its development from multi-sensor fusion, multi-model fusion to multi-focus fusion. More and more advanced techniques such as deep learning have been integrated into the development of image fusion algorithms ...
S. Xu, M. Ehlers
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Degraded Reference Image Quality Assessment
IEEE Transactions on Image Processing, 2023 15 pages, 11 figures, 9 ...
Shahrukh Athar, Zhou Wang
openaire +3 more sources
ARNIQA: Learning Distortion Manifold for Image Quality Assessment [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2023 No-Reference Image Quality Assessment (NR-IQA) aims to develop methods to measure image quality in alignment with human perception without the need for a high-quality reference image.
Lorenzo Agnolucci +3 more
semanticscholar +1 more source
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment [PDF]
IEEE Transactions on Image Processing, 2019 Deep learning methods for image quality assessment (IQA) are limited due to the small size of existing datasets. Extensive datasets require substantial resources both for generating publishable content and annotating it accurately.
Vlad Hosu +3 more
semanticscholar +1 more source
IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 It is of great value to fuse a high-resolution panchromatic image and low-resolution multi-spectral images for object recognition. In the paper, tow frames of remotely sensed imagery, including ZY03 and SPOT05, are selected as the source data.
Z. Han, X. Tang, X. Gao, F. Hu
doaj +1 more source