Proceedings ArticleDOI
A no-reference perceptual image sharpness metric based on saliency-weighted foveal pooling
Nabil G. Sadaka,Lina J. Karam,Rony Ferzli,G.P. Abousleman +3 more
- pp 369-372
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TLDR
A no-reference perceptual sharpness quality metric, inspired by visual attention information, is presented for a better simulation of the Human Visual System response to blur distortions.Abstract:
A no-reference perceptual sharpness quality metric, inspired by visual attention information, is presented for a better simulation of the Human Visual System (HVS) response to blur distortions. Saliency information about a scene is used to accentuate blur distortions around edges present in conspicuous areas and attenuate those distortions present in the rest of the image. Simulation results are presented to illustrate the performance of the proposed metric.read more
Citations
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Journal ArticleDOI
No-Reference Image Quality Assessment in the Spatial Domain
TL;DR: Despite its simplicity, it is able to show that BRISQUE is statistically better than the full-reference peak signal-to-noise ratio and the structural similarity index, and is highly competitive with respect to all present-day distortion-generic NR IQA algorithms.
Journal ArticleDOI
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality
Anush K. Moorthy,Alan C. Bovik +1 more
TL;DR: DIIVINE is capable of assessing the quality of a distorted image across multiple distortion categories, as against most NR IQA algorithms that are distortion-specific in nature, and is statistically superior to the often used measure of peak signal-to-noise ratio (PSNR) and statistically equivalent to the popular structural similarity index (SSIM).
Journal ArticleDOI
A No-Reference Image Blur Metric Based on the Cumulative Probability of Blur Detection (CPBD)
Niranjan Narvekar,Lina J. Karam +1 more
TL;DR: This paper presents a no-reference image blur metric that is based on the study of human blur perception for varying contrast values that utilizes a probabilistic model to estimate the probability of detecting blur at each edge in the image.
Proceedings ArticleDOI
Blind/Referenceless Image Spatial Quality Evaluator
TL;DR: A natural scene statistic based Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE) which extracts the point wise statistics of local normalized luminance signals and measures image naturalness (or lack there of) based on measured deviations from a natural image model.
Journal ArticleDOI
Visual Attention in Objective Image Quality Assessment: Based on Eye-Tracking Data
Hantao Liu,Ingrid Heynderickx +1 more
TL;DR: Whether and to what extent the addition of NSS is beneficial to objective quality prediction in general terms is evaluated, and some practical issues in the design of an attention-based metric are addressed.
References
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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.
A model of saliency-based visual attention for rapid scene analysis
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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Dirk B. Walther,Christof Koch +1 more
TL;DR: It is demonstrated that the suggested model can enable a model of object recognition in cortex to expand from recognizing individual objects in isolation to sequentially recognizing all objects in a more complex scene.
Journal ArticleDOI
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John G. Robson,Norma Graham +1 more
TL;DR: Compared sensitivity at different positions in the visual field has been measured at various spatial frequencies using a patch of grating suitably vignetted to give a stimulus localized in both space and spatial frequency to explain the relation between sensitivity and number of cycles.
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