Seven challenges in image quality assessment: past, present, and future research
DM Chandler - International Scholarly Research Notices, 2013 - Wiley Online Library
Image quality assessment (IQA) has been a topic of intense research over the last several
decades. With each year comes an increasing number of new IQA algorithms, extensions of …
decades. With each year comes an increasing number of new IQA algorithms, extensions of …
A comprehensive performance evaluation of image quality assessment algorithms
Image quality assessment (IQA) algorithms aim to predict perceived image quality by human
observers. Over the last two decades, a large amount of work has been carried out in the …
observers. Over the last two decades, a large amount of work has been carried out in the …
Waterloo exploration database: New challenges for image quality assessment models
The great content diversity of real-world digital images poses a grand challenge to image
quality assessment (IQA) models, which are traditionally designed and validated on a …
quality assessment (IQA) models, which are traditionally designed and validated on a …
FSIM: A feature similarity index for image quality assessment
Image quality assessment (IQA) aims to use computational models to measure the image
quality consistently with subjective evaluations. The well-known structural similarity index …
quality consistently with subjective evaluations. The well-known structural similarity index …
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 …
Applications of objective image quality assessment methods [applications corner]
Z Wang - IEEE signal processing magazine, 2011 - ieeexplore.ieee.org
The interest in objective image quality assessment (IQA) has been growing at an
accelerated pace over the past decade. The latest progress on developing automatic IQA …
accelerated pace over the past decade. The latest progress on developing automatic IQA …
No-reference/blind image quality assessment: a survey
S Xu, S Jiang, W Min - IETE Technical Review, 2017 - Taylor & Francis
In recent years, no-reference/blind image quality assessment (NR-IQA), as a fundamental
but challenging research problem, has been attracting significant attention in the field of …
but challenging research problem, has been attracting significant attention in the field of …
Blind image quality assessment: From natural scene statistics to perceptual quality
AK Moorthy, AC Bovik - IEEE transactions on Image Processing, 2011 - ieeexplore.ieee.org
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 …
No-reference image quality assessment using visual codebooks
P Ye, D Doermann - IEEE Transactions on Image Processing, 2012 - ieeexplore.ieee.org
The goal of no-reference objective image quality assessment (NR-IQA) is to develop a
computational model that can predict the human-perceived quality of distorted images …
computational model that can predict the human-perceived quality of distorted images …
No-reference image quality assessment based on spatial and spectral entropies
L Liu, B Liu, H Huang, AC Bovik - Signal processing: Image communication, 2014 - Elsevier
We develop an efficient general-purpose no-reference (NR) image quality assessment (IQA)
model that utilizes local spatial and spectral entropy features on distorted images. Using a 2 …
model that utilizes local spatial and spectral entropy features on distorted images. Using a 2 …