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 …
Recent advances in image dehazing: Formal analysis to automated approaches
Images captured in hazy environments need to be processed to increase their contrast and
colour integrity. Dehazing, sometimes referred to as haze removal is an important pre …
colour integrity. Dehazing, sometimes referred to as haze removal is an important pre …
Comparative analysis of the SSIM index and the pearson coefficient as a criterion for image similarity
VV Starovoytov, EE Eldarova, KT Iskakov - Eurasian journal of …, 2020 - mathnet.ru
In this paper, the SSIM index, which is the most popular measure of the structural image is
studied. A mathematical proof that the SSIM index and its linear transformations are not …
studied. A mathematical proof that the SSIM index and its linear transformations are not …
Perceptual image quality assessment metric using mutual information of Gabor features
Y Ding, Y Zhang, X Wang, XL Yan… - Science China Information …, 2014 - Springer
A good objective metric of image quality assessment (IQA) should be consistent with the
subjective judgment of human beings. In this paper, a four-stage perceptual approach for full …
subjective judgment of human beings. In this paper, a four-stage perceptual approach for full …
Image quality assessment method based on nonlinear feature extraction in kernel space
Y Ding, N Li, Y Zhao, K Huang - Frontiers of Information Technology & …, 2016 - Springer
To match human perception, extracting perceptual features effectively plays an important
role in image quality assessment. In contrast to most existing methods that use linear …
role in image quality assessment. In contrast to most existing methods that use linear …
Image Quality Assessment Based on Joint Quality‐Aware Representation Construction in Multiple Domains
X Shang, X Zhao, Y Ding - Journal of Engineering, 2018 - Wiley Online Library
Image quality assessment that aims to evaluate the image quality automatically by a
computational model plays a significant role in image processing systems. To meet the need …
computational model plays a significant role in image processing systems. To meet the need …
A content recognizability measure for image quality assessment considering the high frequency attenuating distortions
MH Khosravi, H Hassanpour, A Ahmadifard - Multimedia Tools and …, 2018 - Springer
The existing image quality assessment (IQA) techniques try to estimate image distortions
regardless of their destructive effects on image contents. Analyzing the subjective scores of …
regardless of their destructive effects on image contents. Analyzing the subjective scores of …
Image quality assessment based on multi-order local features description, modeling and quantification
Y Ding, X Zhao, Z Zhang, H Dai - IEICE TRANSACTIONS on …, 2017 - search.ieice.org
Image quality assessment (IQA) plays an important role in quality monitoring, evaluation and
optimization for image processing systems. However, current quality-aware feature …
optimization for image processing systems. However, current quality-aware feature …
基于核空间非线性特征提取的图像质量评价方法
Y Ding, N Li, Y Zhao, K Huang, AY Ding, AN Li… - Frontiers, 2016 - jzus.zju.edu.cn
在实现对与人类视觉感知相一致的图像质量的客观评价中, 如何提取图像的视觉感知特征至关
重要. 不同于传统方法中通过线性变换或模型表达图像的方式, 本文采用高维空间的一种数学 …
重要. 不同于传统方法中通过线性变换或模型表达图像的方式, 本文采用高维空间的一种数学 …