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Journal ArticleDOI

Preference of Experience in Image Tone-Mapping: Dataset and Framework for Objective Measures Comparison

TLDR
A subjective experiment attempting to determine users’ preference with respect to these two types of content in two different viewing scenarios—with and without the HDR reference shows that the absence of the reference can significantly influence the subjects' preferences for the natural images, while no significant impact has been found in the case of the synthetic images.
Abstract
The popularity of high dynamic range (HDR) imaging has grown in both academic and private research sectors. Since the native visualization of HDR content still has its limitations, the importance of dynamic range compression (i.e., tone-mapping) is very high. This paper evaluates observers’ preference of experience in context of image tone-mapping. Given the different nature of natural and computer-generated content, the way observers perceive the quality of tone-mapped images can be fundamentally different. In this paper, we describe a subjective experiment attempting to determine users’ preference with respect to these two types of content in two different viewing scenarios—with and without the HDR reference. The results show that the absence of the reference can significantly influence the subjects’ preferences for the natural images, while no significant impact has been found in the case of the synthetic images. Moreover, we introduce a benchmarking framework and compare the performance of selected objective metrics. The resulting dataset and framework are made publicly available to provide a common test bed and methodology for evaluating metrics in the considered scenario.

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Citations
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Journal ArticleDOI

A Gabor Feature-Based Quality Assessment Model for the Screen Content Images

TL;DR: Experimental simulation results obtained from two large SCI databases have shown that the proposed GFM model yields a higher consistency with the human perception on the assessment of SCIs but also requires a lower computational complexity, compared with that of classical and state-of-the-art IQA models.
Journal ArticleDOI

MC360IQA: A Multi-channel CNN for Blind 360-Degree Image Quality Assessment

TL;DR: This paper builds a compressed VR image quality (CVIQ) database, and proposes a multi-channel convolution neural network (CNN) for blind 360-degree image quality assessment (MC360IQA), which achieves the best performance among the state-of-art full-reference and no-reference image quality Assessment (IQA) models on the CVIQ database and other available360-degree IQA database.
Journal ArticleDOI

Screen Content Quality Assessment: Overview, Benchmark, and Beyond

TL;DR: In this article, screen content, which is often computer-generated, has many characteristics distinctly different from conventional camera-captured natural scene content, and such characteristic differences impose majo...
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.
Journal ArticleDOI

Toward the Assessment of Quality of Experience for Asymmetric Encoding in Immersive Media

TL;DR: The focus of this contribution is the development of a QoE assessment framework, in line with the latest standardization progress in the field of QOE assessment, for understanding the visual effect of asymmetric and symmetric encoding for immersive media.
References
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Journal ArticleDOI

Automated Aesthetic Analysis of Photographic Images

TL;DR: It is shown that aesthetic signatures can still be used to improve upon the current state-of-the-art in automatic aesthetic judgment, but also enable interesting new photo editing applications such as automated aesthetic analysis, HDR tone mapping evaluation, and providing aesthetic feedback during multi-scale contrast manipulation.
Proceedings Article

Testing HDR image rendering algorithms

TL;DR: A large-scale paired comparison psychophysical experiment was developed containing two sections, comparing the overall rendering performances and grayscale tone mapping performance respectively, and illustrated that Durand and Dorsey's bilateral fast filtering technique and Reinhard’s photographic tone reproduction have the best rendering performance overall.
Proceedings ArticleDOI

On the accuracy of objective image and video quality models: New methodology for performance evaluation

TL;DR: New methodology for objective models performance evaluation is proposed, based on determining the classification abilities of the models considering two scenarios inspired by the real applications, which enables to easily evaluate the performance on the data from multiple subjective experiments.
Journal ArticleDOI

FSITM: A Feature Similarity Index For Tone-Mapped Images

TL;DR: Based on the local phase information of images, an objective index, called the feature similarity index for tone-mapped images (FSITM), is proposed in this paper, which compares the locally weighted mean phase angle map of an original high dynamic range (HDR) to that of its associated tone mapped image calculated using the output of the TMO method.
Journal ArticleDOI

FSITM: A Feature Similarity Index For Tone-Mapped Images

TL;DR: Based on the local phase information of images, an objective index, called the feature similarity index for tone-mapped images (FSITM), is proposed in this paper, which compares the locally weighted mean phase angle map of an original high dynamic range (HDR) to that of its associated tone mapped image calculated using the output of the TMO method.
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