Results 11 to 20 of about 242,437 (257)
Automatic no-reference image quality assessment. [PDF]
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]
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
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
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
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
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
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
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
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
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

