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Article

No-reference Automatic Quality Assessment for Colorfulness-Adjusted, Contrast-Adjusted, and Sharpness-Adjusted Images Using High-Dynamic-Range-Derived Features

School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea
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Appl. Sci. 2018, 8(9), 1688; https://doi.org/10.3390/app8091688
Received: 15 August 2018 / Revised: 7 September 2018 / Accepted: 14 September 2018 / Published: 18 September 2018
(This article belongs to the Special Issue Intelligent Imaging and Analysis)
Image adjustment methods are one of the most widely used post-processing techniques for enhancing image quality and improving the visual preference of the human visual system (HVS). However, the assessment of the adjusted images has been mainly dependent on subjective evaluations. Also, most recently developed automatic assessment methods have mainly focused on evaluating distorted images degraded by compression or noise. The effects of the colorfulness, contrast, and sharpness adjustments on images have been overlooked. In this study, we propose a fully automatic assessment method that evaluates colorfulness-adjusted, contrast-adjusted, and sharpness-adjusted images while considering HVS preferences. The proposed method does not require a reference image and automatically calculates quantitative scores, visual preference, and quality assessment with respect to the level of colorfulness, contrast, and sharpness adjustment. The proposed method evaluates adjusted images based on the features extracted from high dynamic range images, which have higher colorfulness, contrast, and sharpness than that of low dynamic range images. Through experimentation, we demonstrate that our proposed method achieves a higher correlation with subjective evaluations than that of conventional assessment methods. View Full-Text
Keywords: image adjustment; colorfulness; contrast; sharpness; high dynamic range image adjustment; colorfulness; contrast; sharpness; high dynamic range
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MDPI and ACS Style

Jang, J.; Jang, H.; Eo, T.; Bang, K.; Hwang, D. No-reference Automatic Quality Assessment for Colorfulness-Adjusted, Contrast-Adjusted, and Sharpness-Adjusted Images Using High-Dynamic-Range-Derived Features. Appl. Sci. 2018, 8, 1688. https://doi.org/10.3390/app8091688

AMA Style

Jang J, Jang H, Eo T, Bang K, Hwang D. No-reference Automatic Quality Assessment for Colorfulness-Adjusted, Contrast-Adjusted, and Sharpness-Adjusted Images Using High-Dynamic-Range-Derived Features. Applied Sciences. 2018; 8(9):1688. https://doi.org/10.3390/app8091688

Chicago/Turabian Style

Jang, Jinseong, Hanbyol Jang, Taejoon Eo, Kihun Bang, and Dosik Hwang. 2018. "No-reference Automatic Quality Assessment for Colorfulness-Adjusted, Contrast-Adjusted, and Sharpness-Adjusted Images Using High-Dynamic-Range-Derived Features" Applied Sciences 8, no. 9: 1688. https://doi.org/10.3390/app8091688

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