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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

A perceptual framework for contrast processing of high dynamic range images

TL;DR: Inspired by gradient domain methods, this work derives a framework that imposes constraints on the entire set of contrasts in an image for a full range of spatial frequencies, so that even severe image modifications do not reverse the polarity of contrast.
Journal ArticleDOI

A Fast Wavelet-Based Algorithm for Global and Local Image Sharpness Estimation

TL;DR: Testing on several image databases demonstrates that, despite its simplicity, FISH is competitive with the currently best-performing techniques both for sharpness estimation and for no-reference image quality assessment.
Journal ArticleDOI

Dynamic range independent image quality assessment

TL;DR: In this article, the human visual system is used to detect and classify visible changes in the image structure, and a new metric for image quality assessment is proposed based on the detection and classification of visible changes.
Proceedings ArticleDOI

A perceptual framework for contrast processing of high dynamic range images

TL;DR: To predict the visibility of suprathreshold contrast, it is shown that a complex contrast compression operation, which preserves textures of small contrast, is reduced to a linear scaling in the proposed visual response space.
Journal ArticleDOI

Technical Section: Evaluation of HDR tone mapping methods using essential perceptual attributes

TL;DR: This work presents an overview about the effects of basic image attributes in high dynamic range tone mapping, and proposes a scheme of relationships between these attributes, leading to the definition of an overall image quality measure.
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