An Optimization-Based Family of Predictive, Fusion-Based Models for Full-Reference Image Quality Assessment [PDF]
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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Full-Reference Image Quality Assessment Based on an Optimal Linear Combination of Quality Measures Selected by Simulated Annealing [PDF]
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
doaj +4 more sources
Saliency-Guided Local Full-Reference Image Quality Assessment
Signals, 2022 Research and development of image quality assessment (IQA) algorithms have been in the focus of the computer vision and image processing community for decades.
Domonkos Varga
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Full-Reference Image Quality Assessment with Transformer and DISTS
Mathematics, 2023 To improve data transmission efficiency, image compression is a commonly used method with the disadvantage of accompanying image distortion. There are many image restoration (IR) algorithms, and one of the most advanced algorithms is the generative ...
Pei-Fen Tsai +3 more
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Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
IEEE Transactions on Image Processing, 2018 We present a deep neural network-based approach to image quality assessment (IQA). The network is trained end-to-end and comprises ten convolutional layers and five pooling layers for feature extraction, and two fully connected layers for regression, which makes it significantly deeper than related IQA models.
Thomas Wiegand +2 more
exaly +7 more sources
Full-Reference Image Quality Assessment with Linear Combination of Genetically Selected Quality Measures. [PDF]
PLoS ONE, 2016 Information carried by an image can be distorted due to different image processing steps introduced by different electronic means of storage and communication.
Mariusz Oszust
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Quaternion wavelet transform based full reference image quality assessment for multiply distorted images. [PDF]
PLoS ONE, 2018 Most of real-world image distortions are multiply distortion rather than single distortion. To address this issue, in this paper we propose a quaternion wavelet transform (QWT) based full reference image quality assessment (FR IQA) metric for multiply ...
Chaofeng Li +4 more
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Full Reference Objective Quality Assessment for Reconstructed Background Images [PDF]
Journal of Imaging, 2018 With an increased interest in applications that require a clean background image, such as video surveillance, object tracking, street view imaging and location-based services on web-based maps, multiple algorithms have been developed to reconstruct a ...
Aditee Shrotre, Lina J. Karam
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A Combined Full-Reference Image Quality Assessment Method Based on Convolutional Activation Maps
Algorithms, 2020 The goal of full-reference image quality assessment (FR-IQA) is to predict the perceptual quality of an image as perceived by human observers using its pristine (distortion free) reference counterpart. In this study, we explore a novel, combined approach
Domonkos Varga
doaj +3 more sources
RVSIM: a feature similarity method for full-reference image quality assessment [PDF]
EURASIP Journal on Image and Video Processing, 2018 Image quality assessment is an important topic in the field of digital image processing. In this study, a full-reference image quality assessment method called Riesz transform and Visual contrast sensitivity-based feature SIMilarity index (RVSIM) is ...
Guangyi Yang +4 more
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