Perceptual Analysis of Tone Mapping Operators
Tone mapping is a crucial step in rendering, as it maps the High Dynamic Range (HDR) images to a Lower Dynamic Range (LDR) for display on standard devices. In this research, we address the challenge of selecting the most appropriate Tone Mapping Operator (TMO) based on perceptual differences, which...
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| Format: | Article |
| Language: | English |
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Shaheed Zulfikar Ali Bhutto Institute of Science and Technology
2024-12-01
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| Series: | JISR on Computing |
| Subjects: | |
| Online Access: | http://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/199 |
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| _version_ | 1823858669533528064 |
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| author | Raazia Sosan M. Hamza Qureshi M. Zukhruf Bashir Ahmad Hussain Naz Islam |
| author_facet | Raazia Sosan M. Hamza Qureshi M. Zukhruf Bashir Ahmad Hussain Naz Islam |
| author_sort | Raazia Sosan |
| collection | DOAJ |
| description | Tone mapping is a crucial step in rendering, as it maps the High Dynamic Range (HDR) images to a Lower Dynamic Range (LDR) for display on standard devices. In this research, we address the challenge of selecting the most appropriate Tone Mapping Operator (TMO) based on perceptual differences, which are essential for achieving visually aesthetic and physically plausible images. In this article, we evaluate several existing TMOs using two novel perceptual parameters: Structural Similarity Index (SSIM) and Color Difference Formula (CIEDE2000). By utilizing these novel parameters, we aim to provide a comprehensive analysis of the performance of various TMOs under different scenarios. Our experimental results reveal significant variations in the performance of the evaluated tone mapping operators. Some operators exhibit superior performance in preserving structural information and color accuracy, while others may excel in certain specific scenarios. By shedding light on the perceptual differences among the evaluated tone mapping operators, this article facilitates the effective utilization of tone mappers for achieving desired visual outcomes. Additionally, the proposed SSIM and CIEDE2000 metrics serve as valuable tools for future research and benchmarking in the field of image processing.
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| format | Article |
| id | doaj-art-8c6747234d3644e2bf3fdc8d293715b9 |
| institution | Kabale University |
| issn | 2412-0448 1998-4154 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Shaheed Zulfikar Ali Bhutto Institute of Science and Technology |
| record_format | Article |
| series | JISR on Computing |
| spelling | doaj-art-8c6747234d3644e2bf3fdc8d293715b92025-02-11T10:35:22ZengShaheed Zulfikar Ali Bhutto Institute of Science and TechnologyJISR on Computing2412-04481998-41542024-12-0122210.31645/JISRC.24.22.2.3Perceptual Analysis of Tone Mapping OperatorsRaazia Sosan0M. Hamza Qureshi1M. Zukhruf Bashir2Ahmad Hussain3Naz Islam4Department of Computer Science, DHA Suffa University, Karachi, PakistanDepartment of Computer Science, DHA Suffa University, Karachi, PakistanDepartment of Computer Science, DHA Suffa University, Karachi, PakistanDepartment of Mechanical Engineering, DHA Suffa University, Karachi, PakistanDepartment of Electrical Engineering and Computer Science, University of Missouri, USATone mapping is a crucial step in rendering, as it maps the High Dynamic Range (HDR) images to a Lower Dynamic Range (LDR) for display on standard devices. In this research, we address the challenge of selecting the most appropriate Tone Mapping Operator (TMO) based on perceptual differences, which are essential for achieving visually aesthetic and physically plausible images. In this article, we evaluate several existing TMOs using two novel perceptual parameters: Structural Similarity Index (SSIM) and Color Difference Formula (CIEDE2000). By utilizing these novel parameters, we aim to provide a comprehensive analysis of the performance of various TMOs under different scenarios. Our experimental results reveal significant variations in the performance of the evaluated tone mapping operators. Some operators exhibit superior performance in preserving structural information and color accuracy, while others may excel in certain specific scenarios. By shedding light on the perceptual differences among the evaluated tone mapping operators, this article facilitates the effective utilization of tone mappers for achieving desired visual outcomes. Additionally, the proposed SSIM and CIEDE2000 metrics serve as valuable tools for future research and benchmarking in the field of image processing. http://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/199Tone Mapping OperatorsHigh Dynamic RangeImage QualityPerceptualSSIM |
| spellingShingle | Raazia Sosan M. Hamza Qureshi M. Zukhruf Bashir Ahmad Hussain Naz Islam Perceptual Analysis of Tone Mapping Operators JISR on Computing Tone Mapping Operators High Dynamic Range Image Quality Perceptual SSIM |
| title | Perceptual Analysis of Tone Mapping Operators |
| title_full | Perceptual Analysis of Tone Mapping Operators |
| title_fullStr | Perceptual Analysis of Tone Mapping Operators |
| title_full_unstemmed | Perceptual Analysis of Tone Mapping Operators |
| title_short | Perceptual Analysis of Tone Mapping Operators |
| title_sort | perceptual analysis of tone mapping operators |
| topic | Tone Mapping Operators High Dynamic Range Image Quality Perceptual SSIM |
| url | http://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/199 |
| work_keys_str_mv | AT raaziasosan perceptualanalysisoftonemappingoperators AT mhamzaqureshi perceptualanalysisoftonemappingoperators AT mzukhrufbashir perceptualanalysisoftonemappingoperators AT ahmadhussain perceptualanalysisoftonemappingoperators AT nazislam perceptualanalysisoftonemappingoperators |