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Journal ArticleDOI

Tone mapping based HDR compression: Does it affect visual experience?

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TLDR
It is believed that VA needs consideration for evaluating the overall perceptual impact of TMOs on HDR content, since the existing studies so far have only considered the quality or esthetic appeal angle.
Abstract
High Dynamic Range (HDR) content is visually more appealing since it can represent the real luminance of the scene. However, on the downside, this means that a large amount of data needs to be handled both during storage and processing. The other problem is that HDR content cannot be displayed on the conventional display devices due to their limited dynamic range. To overcome these two problems, dynamic range compression (or range reduction) is often used and this is accomplished by tone mapping operators (TMOs). As result of tone mapping, the HDR content is not only fit to be displayed on a regular display device but also compressed. However from an artistic intention point of view, TMOs are not necessarily transparent and might induce different viewing behavior. It is generally accepted that TMOs reduce visual quality and there have been a number of studies reported in literature which examine the impact of tone mapping from the view point of perceptual quality. In contrast to this, it is largely unclear if tone mapping will induce changes in visual attention (VA) as well and whether these are significant enough to be accounted for in HDR content processing. To our knowledge, no systematic study exists which sheds light on this issue. Given that VA is a crucial visual perception mechanism which affects the way we perceive visual signals, it is important to study the effect of tone mapping on VA deployment. Towards this goal, this paper investigates and quantifies how TMOs modify VA. Comprehensive subjective tests in the form of eye-tracking experiments have been conducted on several HDR content and using a large number of TMOs. Further non-parametric statistical analysis has been carried out to ascertain the statistical significance of the results obtained. Our studies suggest that TMOs can indeed modify human attention and fixation behavior. Based on this we believe that VA needs consideration for evaluating the overall perceptual impact of TMOs on HDR content. As mentioned, since the existing studies so far have only considered the quality or esthetic appeal angle, this study brings in a new perspective regarding the importance of VA in HDR content processing for visualization on LDR displays.

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Citations
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Journal ArticleDOI

Hdr-vqm

TL;DR: An objective HDR video quality measure (HDR-VQM) based on signal pre-processing, transformation, and subsequent frequency based decomposition is presented, which is one of the first objective method for high dynamic range video quality estimation.

Visual attention in LDR and HDR images

TL;DR: A publicly available dataset of 46 HDR and corresponding LDR images with varying regions of interests, scenes, and dynamic range is created and fixation density maps are obtained, which demonstrate a significant difference in the way HDR and LDR capture attention of the observers.
Journal ArticleDOI

A feature-based approach for saliency estimation of omni-directional images

TL;DR: A saliency model for omni-directional images is presented, based on the combination of low-level and semantic features that take into account the impact of the presence of human subjects on the saliency.
Journal ArticleDOI

An extensive performance evaluation of full-reference HDR image quality metrics

TL;DR: This paper gathers several existing HDR image databases with subjective quality annotations, and analyzes in depth many FR metrics, including those used in MPEG standardization, using both classical correlation analyses and classification accuracy.
Journal ArticleDOI

Robust high dynamic range color image watermarking method based on feature map extraction

TL;DR: The experimental results show that the proposed method can efficiently resist different TMOs and common image attacks, outperforming other existing HDR image watermarking methods.
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 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

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.
Book

Applied Statistics and Probability for Engineers

TL;DR: Montgomery and Runger's Engineering Statistics text as discussed by the authors provides a practical approach oriented to engineering as well as chemical and physical sciences by providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers.
Journal ArticleDOI

Distribution-Free Statistical Tests

James V. Bradley
- 01 Nov 1970 - 
TL;DR: Tests are grouped together primarily according to general type of mathematical derivation or type of statistical "information" used in'conducting the test, and mathematical interrelationships among the tests are indicated.
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Trending Questions (1)
Does hdl influence visual accuity?

The provided paper does not directly address the influence of HDR (High Dynamic Range) on visual acuity. The paper focuses on the impact of tone mapping operators (TMOs) on visual attention (VA) in HDR content processing.