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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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Journal ArticleDOI

Objective Quality Assessment of Tone-Mapped Images

TL;DR: An objective quality assessment algorithm for tone-mapped images is proposed by combining: 1) a multiscale signal fidelity measure on the basis of a modified structural similarity index and 2) a naturalness measure onThe basis of intensity statistics of natural images.
Proceedings ArticleDOI

Learning without Human Scores for Blind Image Quality Assessment

TL;DR: The proposed QAC based BIQA method not only has comparable accuracy to those methods using human scored images in learning, but also has merits such as high linearity to human perception of image quality, real-time implementation and availability of image local quality map.
Journal ArticleDOI

iCAM06: A refined image appearance model for HDR image rendering

TL;DR: Evaluation of the model proved iCAM06 to have consistently good HDR rendering performance in both preference and accuracy making it a good candidate for a general-purpose tone-mapping operator with further potential applications to a wide-range of image appearance research and practice.
Journal ArticleDOI

Evaluation of tone mapping operators using a High Dynamic Range display

TL;DR: A series of psychophysical experiments are presented to validate six frequently used tone mapping operators against linearly mapped High Dynamic Range (HDR) scenes displayed on a novel HDR device and to determine the participants' impressions of the images produced compared to what is visible on a high contrast ratio display.
Book

Advanced High Dynamic Range Imaging: Theory and Practice

TL;DR: This book provides a practical introduction to the emerging new discipline of high dynamic range imaging that combines photography and computer graphics by providing detailed equations and code that gives the reader the tools needed to experiment with new techniques for creating compelling images.
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