Results 11 to 20 of about 242,437 (257)

Automatic no-reference image quality assessment. [PDF]

open access: yesSpringerplus, 2016
No-reference image quality assessment aims to predict the visual quality of distorted images without examining the original image as a reference. Most no-reference image quality metrics which have been already proposed are designed for one or a set of predefined specific distortion types and are unlikely to generalize for evaluating images degraded ...
Li H, Hu W, Xu ZN.
europepmc   +3 more sources

Domain Fingerprints for No-Reference Image Quality Assessment [PDF]

open access: yesIEEE Transactions on Circuits and Systems for Video Technology, 2021
accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Weihao Xia 0001   +3 more
openaire   +2 more sources

Mask Reference Image Quality Assessment

open access: yesCoRR, 2023
Understanding semantic information is an essential step in knowing what is being learned in both full-reference (FR) and no-reference (NR) image quality assessment (IQA) methods. However, especially for many severely distorted images, even if there is an undistorted image as a reference (FR-IQA), it is difficult to perceive the lost semantic and ...
Pengxiang Xiao   +3 more
openaire   +2 more sources

Video Quality Analysis: Steps towards Unifying Full and No Reference Cases

open access: yesStandards, 2022
Video quality assessment (VQA) is now a fast-growing field, maturing in the full reference (FR) case, yet challenging in the exploding no reference (NR) case.
Pankaj Topiwala   +4 more
doaj   +1 more source

Degraded Reference Image Quality Assessment

open access: yesIEEE Transactions on Image Processing, 2023
15 pages, 11 figures, 9 ...
Shahrukh Athar, Zhou Wang 0001
openaire   +4 more sources

No-Reference Image Quality Assessment Based on a Multitask Image Restoration Network

open access: yesApplied Sciences, 2023
When image quality is evaluated, the human visual system (HVS) infers the details in the image through its internal generative mechanism. In this process, the HVS integrates both local and global information about the image, utilizes contextual ...
Fan Chen, Hong Fu, Hengyong Yu, Ying Chu
doaj   +1 more source

No-Reference Image Quality Assessment Based on Image Multi-Scale Contour Prediction

open access: yesApplied Sciences, 2022
Accurately assessing image quality is a challenging task, especially without a reference image. Currently, most of the no-reference image quality assessment methods still require reference images in the training stage, but reference images are usually ...
Fan Wang   +4 more
doaj   +1 more source

No Reference, Opinion Unaware Image Quality Assessment by Anomaly Detection

open access: yesSensors, 2021
We propose an anomaly detection based image quality assessment method which exploits the correlations between feature maps from a pre-trained Convolutional Neural Network (CNN).
Marco Leonardi   +3 more
doaj   +1 more source

Continuous Wavelet Transform Based No-Reference Image Quality Assessment for Blur and Noise Distortions

open access: yesIEEE Access, 2018
This paper proposes a no-reference quality assessment technique to assess the quality of images that is degraded due to blur and noise. The technique is motivated from the fact that when distortion occurs in a natural image, its naturalness gets ...
Piyush Joshi, Surya Prakash
doaj   +1 more source

No Reference Pansharpened Image Quality Assessment Through Deep Feature Similarity

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Pansharpening refers to the process of enhancing the spatial resolution of a multispectral image with the help of a high spatial resolution panchromatic (PAN) image.
Neeraj Badal   +3 more
doaj   +1 more source

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