Evaluation of Color Difference Models for Wide Color Gamut and High Dynamic Range
Color difference models (CDMs) are essential for accurate color reproduction in image processing. While CDMs aim to reflect perceived color differences (CDs) from psychophysical data, they remain largely untested in wide color gamut (WCG) and high dynamic range (HDR) contexts, which are underreprese...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Journal of Imaging |
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| Online Access: | https://www.mdpi.com/2313-433X/10/12/317 |
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| author | Olga Basova Sergey Gladilin Vladislav Kokhan Mikhalina Kharkevich Anastasia Sarycheva Ivan Konovalenko Mikhail Chobanu Ilya Nikolaev |
| author_facet | Olga Basova Sergey Gladilin Vladislav Kokhan Mikhalina Kharkevich Anastasia Sarycheva Ivan Konovalenko Mikhail Chobanu Ilya Nikolaev |
| author_sort | Olga Basova |
| collection | DOAJ |
| description | Color difference models (CDMs) are essential for accurate color reproduction in image processing. While CDMs aim to reflect perceived color differences (CDs) from psychophysical data, they remain largely untested in wide color gamut (WCG) and high dynamic range (HDR) contexts, which are underrepresented in current datasets. This gap highlights the need to validate CDMs across WCG and HDR. Moreover, the non-geodesic structure of perceptual color space necessitates datasets covering CDs of various magnitudes, while most existing datasets emphasize only small and threshold CDs. To address this, we collected a new dataset encompassing a broad range of CDs in WCG and HDR contexts and developed a novel CDM fitted to these data. Benchmarking various CDMs using STRESS and significant error fractions on both new and established datasets reveals that CAM16-UCS with power correction is the most versatile model, delivering strong average performance across WCG colors up to 1611 cd/m<sup>2</sup>. However, even the best CDM fails to achieve the desired accuracy limits and yields significant errors. CAM16-UCS, though promising, requires further refinement, particularly in its power correction component to better capture the non-geodesic structure of perceptual color space. |
| format | Article |
| id | doaj-art-bc5de65afe2d4bbea0ba4307149e36bb |
| institution | DOAJ |
| issn | 2313-433X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj-art-bc5de65afe2d4bbea0ba4307149e36bb2025-08-20T02:55:38ZengMDPI AGJournal of Imaging2313-433X2024-12-01101231710.3390/jimaging10120317Evaluation of Color Difference Models for Wide Color Gamut and High Dynamic RangeOlga Basova0Sergey Gladilin1Vladislav Kokhan2Mikhalina Kharkevich3Anastasia Sarycheva4Ivan Konovalenko5Mikhail Chobanu6Ilya Nikolaev7Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 119333 Moscow, RussiaFederal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 119333 Moscow, RussiaInstitute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, RussiaFederal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 119333 Moscow, RussiaInstitute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, RussiaFederal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 119333 Moscow, RussiaDepartment of Computing Machines, Systems and Networks, Institute of Information Technologies and Computer Science, National Research University “Moscow Power Engineering Institute”, 111250 Moscow, RussiaFederal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 119333 Moscow, RussiaColor difference models (CDMs) are essential for accurate color reproduction in image processing. While CDMs aim to reflect perceived color differences (CDs) from psychophysical data, they remain largely untested in wide color gamut (WCG) and high dynamic range (HDR) contexts, which are underrepresented in current datasets. This gap highlights the need to validate CDMs across WCG and HDR. Moreover, the non-geodesic structure of perceptual color space necessitates datasets covering CDs of various magnitudes, while most existing datasets emphasize only small and threshold CDs. To address this, we collected a new dataset encompassing a broad range of CDs in WCG and HDR contexts and developed a novel CDM fitted to these data. Benchmarking various CDMs using STRESS and significant error fractions on both new and established datasets reveals that CAM16-UCS with power correction is the most versatile model, delivering strong average performance across WCG colors up to 1611 cd/m<sup>2</sup>. However, even the best CDM fails to achieve the desired accuracy limits and yields significant errors. CAM16-UCS, though promising, requires further refinement, particularly in its power correction component to better capture the non-geodesic structure of perceptual color space.https://www.mdpi.com/2313-433X/10/12/317color difference modelcolor model evaluationcolor difference datasetstrict substitutiongray-scale methodwide color gamut |
| spellingShingle | Olga Basova Sergey Gladilin Vladislav Kokhan Mikhalina Kharkevich Anastasia Sarycheva Ivan Konovalenko Mikhail Chobanu Ilya Nikolaev Evaluation of Color Difference Models for Wide Color Gamut and High Dynamic Range Journal of Imaging color difference model color model evaluation color difference dataset strict substitution gray-scale method wide color gamut |
| title | Evaluation of Color Difference Models for Wide Color Gamut and High Dynamic Range |
| title_full | Evaluation of Color Difference Models for Wide Color Gamut and High Dynamic Range |
| title_fullStr | Evaluation of Color Difference Models for Wide Color Gamut and High Dynamic Range |
| title_full_unstemmed | Evaluation of Color Difference Models for Wide Color Gamut and High Dynamic Range |
| title_short | Evaluation of Color Difference Models for Wide Color Gamut and High Dynamic Range |
| title_sort | evaluation of color difference models for wide color gamut and high dynamic range |
| topic | color difference model color model evaluation color difference dataset strict substitution gray-scale method wide color gamut |
| url | https://www.mdpi.com/2313-433X/10/12/317 |
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