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Journal ArticleDOI

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

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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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Book

Signal Detection Theory and ROC Analysis in Psychology and Diagnostics: Collected Papers

TL;DR: The Relative Operating Characteristic in Psychology is studied as a form of Empirical ROCs in Discrimination and Diagnostic Tasks and Applications in Various Diagnostic Fields.
Journal ArticleDOI

Adaptive Logarithmic Mapping For Displaying High Contrast Scenes

TL;DR: A fast, high quality tone mapping technique to display high contrast images on devices with limited dynamic range of luminance values and taking into account user preference concerning brightness, contrast compression, and detail reproduction is proposed.
Proceedings ArticleDOI

HDR-VDP-2: a calibrated visual metric for visibility and quality predictions in all luminance conditions

TL;DR: The visibility metric is shown to provide much improved predictions as compared to the original HDR-VDP and VDP metrics, especially for low luminance conditions, and is comparable to or better than for the MS-SSIM, which is considered one of the most successful quality metrics.
Journal ArticleDOI

Photographic tone reproduction for digital images

TL;DR: In this article, the tone reproduction problem is also considered, which maps the potentially high dynamic range of real world luminances to the low dynamic ranges of the photographic print, which is a classic photographic task.
Journal ArticleDOI

No-reference image quality assessment based on spatial and spectral entropies

TL;DR: It is found that SSEQ matches well with human subjective opinions of image quality, and is statistically superior to the full-reference IQA algorithm SSIM and several top-performing NR IQA methods: BIQI, DIIVINE, and BLIINDS-II.
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