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Journal ArticleDOI

Perceptual visual quality metrics: A survey

TLDR
A systematic, comprehensive and up-to-date review of perceptual visual quality metrics (PVQMs) to predict picture quality according to human perception.
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This article is published in Journal of Visual Communication and Image Representation.The article was published on 2011-05-01. It has received 895 citations till now. The article focuses on the topics: Visual processing & Feature (computer vision).

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Citations
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Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index

TL;DR: It is found that the pixel-wise gradient magnitude similarity (GMS) between the reference and distorted images combined with a novel pooling strategy-the standard deviation of the GMS map-can predict accurately perceptual image quality.
Journal ArticleDOI

Image database TID2013

TL;DR: This paper describes a recently created image database, TID2013, intended for evaluation of full-reference visual quality assessment metrics, and methodology for determining drawbacks of existing visual quality metrics is described.
Journal ArticleDOI

VSI: a visual saliency-induced index for perceptual image quality assessment.

TL;DR: Extensive experiments performed on four largescale benchmark databases demonstrate that the proposed IQA index VSI works better in terms of the prediction accuracy than all state-of-the-art IQA indices the authors can find while maintaining a moderate computational complexity.
Journal ArticleDOI

A Survey on Quality of Experience of HTTP Adaptive Streaming

TL;DR: The technical development of HAS, existing open standardized solutions, but also proprietary solutions are reviewed in this paper as fundamental to derive the QoE influence factors that emerge as a result of adaptation.
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Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index

TL;DR: In this article, a gradient magnitude similarity deviation (GMSD) method was proposed for image quality assessment, where the pixel-wise GMS between the reference and distorted images was combined with a novel pooling strategy to predict accurately perceptual image quality.
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 feature-integration theory of attention

TL;DR: A new hypothesis about the role of focused attention is proposed, which offers a new set of criteria for distinguishing separable from integral features and a new rationale for predicting which tasks will show attention limits and which will not.
Journal ArticleDOI

A model of saliency-based visual attention for rapid scene analysis

TL;DR: In this article, a visual attention system inspired by the behavior and the neuronal architecture of the early primate visual system is presented, where multiscale image features are combined into a single topographical saliency map.
Journal ArticleDOI

Orienting of attention

TL;DR: This paper explores one aspect of cognition through the use of a simple model task in which human subjects are asked to commit attention to a position in visual space other than fixation by orienting a covert mechanism that seems sufficiently time locked to external events that its trajectory can be traced across the visual field in terms of momentary changes in the efficiency of detecting stimuli.

A model of saliency-based visual attention for rapid scene analysis

Laurent Itti
TL;DR: A visual attention system, inspired by the behavior and the neuronal architecture of the early primate visual system, is presented, which breaks down the complex problem of scene understanding by rapidly selecting conspicuous locations to be analyzed in detail.
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