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 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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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
doaj +2 more sources
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 +2 more sources
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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Applicability Evaluation of Full-Reference Image Quality Assessment Methods for Computed Tomography Images. [PDF]
J Digit Imaging, 2023 Abstract Image quality assessments (IQA) are an important task for providing appropriate medical care. Full-reference IQA (FR-IQA) methods, such as peak signal-to-noise ratio (PSNR) and structural similarity (SSIM), are often used to evaluate imaging conditions, reconstruction conditions, and image processing algorithms, including noise reduction and ...
Ohashi K +8 more
europepmc +3 more sources
Full-reference calibration-free image quality assessment [PDF]
Signal Processing: Image CommunicationObjective Image Quality Assessment (IQA) methods often lack of linearity of their quality estimates with respect to scores expressed by human subjects and therefore IQA metrics undergo a calibration process based on subjective quality examples.
Elio D. Di Claudio +2 more
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Quality Assessment for CRT and LCD Color Reproduction Using a Blind Metric [PDF]
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2008 This paper deals with image quality assessment that is capturing the focus of several research teams from academic and industrial parts. This field has an important role in various applications related to image from acquisition to projection.
Quintard Ludovic +2 more
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