A New Spatial Hue Angle Metric for Perceptual Image Difference
Marius Pedersen,Jon Yngve Hardeberg +1 more
- pp 81-90
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TLDR
A new color image difference metrics based on the hue angle algorithm that takes into account the spatial properties of the human visual system is proposed, which shows improvement in performance compared to the original metric.Abstract:
Color image difference metrics have been proposed to find differences between an original image and a modified version of it. One of these metrics is the hue angle algorithm proposed by Hong and Luo in 2002. This metric does not take into account the spatial properties of the human visual system, and could therefore miscalculate the difference between an original image and a modified version of it. Because of this we propose a new color image difference metrics based on the hue angle algorithm that takes into account the spatial properties of the human visual system. The proposed metric, which we have named SHAME (Spatial Hue Angle MEtric), have been subjected to extensive testing. The results show improvement in performance compared to the original metric proposed by Hong and Luo.read more
Citations
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Book
Full-Reference Image Quality Metrics: Classification and Evaluation (Foundations and Trends in Computer Graphics and Vision)
TL;DR: This paper aims to give a survey of one class of metrics, full-reference IQ metrics, by classified them into different groups and evaluating them against six state-of-the-art IQ databases.
Book ChapterDOI
CID:IQ – A New Image Quality Database
TL;DR: This study proposes a new IQ database, Colourlab Image Database: Image Quality (CID:IQ), for which methods to design reference images, and different types of distortions have been applied, and another new feature with this database is that the perceptual experiments at two viewing distances are conducted.
Survey of full-reference image quality metrics
TL;DR: A survey of full-reference image quality metrics, including metrics specifically designed to evaluate image quality, but also metrics for image difference, image fidelity, and more are given.
Book
Full-Reference Image Quality Metrics
TL;DR: In this article, a survey of one class of metrics, full-reference IQ metrics, is presented. But the authors focus on image quality and do not consider the quality of the image itself.
Journal ArticleDOI
Efficiency analysis of color image filtering
Dmitriy V. Fevralev,Nikolay N. Ponomarenko,Vladimir V. Lukin,Sergey K. Abramov,Karen Egiazarian,Jaakko Astola +5 more
TL;DR: Under which conditions filtering can visibly improve the image quality is addressed, and it is demonstrated that it is possible to roughly estimate whether or not the visual quality can clearly be improved by filtering.
References
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Journal ArticleDOI
Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Journal ArticleDOI
A universal image quality index
Zhou Wang,Alan C. Bovik +1 more
TL;DR: Although the new index is mathematically defined and no human visual system model is explicitly employed, experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean squared error.
Journal ArticleDOI
A spatial extension of CIELAB for digital color‐image reproduction
X. Zhang,Brian A. Wandell +1 more
TL;DR: A spatial extension to the CIELAB color metric that is useful for measuring color reproduction errors of digital images is described, and over patterned regions of the image, the reproduction errors measured using the spatial extension ofCIELAB correspond to perceived color errors better than errors computed without theatial extension.
Proceedings ArticleDOI
Color image database for evaluation of image quality metrics
Nikolay N. Ponomarenko,Vladimir V. Lukin,Karen Egiazarian,Jaakko Astola,Marco Carli,Federica Battisti +5 more
TL;DR: A new image database for testing full-reference image quality assessment metrics is presented, based on 1700 test images, which can be used for evaluating the performances of visual quality metrics as well as for comparison and for the design of new metrics.
Journal ArticleDOI
Analysis of the development of spatial contrast sensitivity in monkey and human infants
J. Anthony Movshon,Lynne Kiorpes +1 more
TL;DR: A reanalysis of published data shows that the development of the spatial contrast sensitivity function can be described satisfactorily by the simultaneous vertical and horizontal scaling of a template function whose shape on a log-log axis does not change during development.