Making a “completely blind” image quality analyzer
A Mittal, R Soundararajan… - IEEE Signal processing …, 2012 - ieeexplore.ieee.org
An important aim of research on the blind image quality assessment (IQA) problem is to
devise perceptual models that can predict the quality of distorted images with as little prior …
devise perceptual models that can predict the quality of distorted images with as little prior …
Blind image quality assessment: From natural scene statistics to perceptual quality
Our approach to blind image quality assessment (IQA) is based on the hypothesis that
natural scenes possess certain statistical properties which are altered in the presence of …
natural scenes possess certain statistical properties which are altered in the presence of …
Blind/referenceless image spatial quality evaluator
We propose a natural scene statistic based Blind/Referenceless Image Spatial QUality
Evaluator (BRISQUE) which extracts the point wise statistics of local normalized luminance …
Evaluator (BRISQUE) which extracts the point wise statistics of local normalized luminance …
Automatic prediction of perceptual image and video quality
AC Bovik - Proceedings of the IEEE, 2013 - ieeexplore.ieee.org
Finding ways to monitor and control the perceptual quality of digital visual media has
become a pressing concern as the volume being transported and viewed continues to …
become a pressing concern as the volume being transported and viewed continues to …
Blind image quality assessment without human training using latent quality factors
A Mittal, GS Muralidhar, J Ghosh… - IEEE Signal Processing …, 2011 - ieeexplore.ieee.org
We propose a highly unsupervised, training free, no reference image quality assessment
(IQA) model that is based on the hypothesis that distorted images have certain latent …
(IQA) model that is based on the hypothesis that distorted images have certain latent …
A literature survey on blur detection algorithms for digital imaging
BT Koik, H Ibrahim - 2013 1st International Conference on …, 2013 - ieeexplore.ieee.org
Development of blur detection algorithms has attracted many attentions in recent years. The
blur detection algorithms are found very helpful in real life applications and therefore have …
blur detection algorithms are found very helpful in real life applications and therefore have …
Dynamic receptive field generation for full-reference image quality assessment
Most full-reference image quality assessment (FR-IQA) methods advanced to date have
been holistically designed without regard to the type of distortion impairing the image …
been holistically designed without regard to the type of distortion impairing the image …
Conviqt: Contrastive video quality estimator
Perceptual video quality assessment (VQA) is an integral component of many streaming and
video sharing platforms. Here we consider the problem of learning perceptually relevant …
video sharing platforms. Here we consider the problem of learning perceptually relevant …
Evaluating the generalization ability of super-resolution networks
Performance and generalization ability are two important aspects to evaluate the deep
learning models. However, research on the generalization ability of Super-Resolution (SR) …
learning models. However, research on the generalization ability of Super-Resolution (SR) …
Quality aware generative adversarial networks
Abstract Generative Adversarial Networks (GANs) have become a very popular tool for im-
plicitly learning high-dimensional probability distributions. Several improvements have been …
plicitly learning high-dimensional probability distributions. Several improvements have been …