{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:49:09Z","timestamp":1760150949255,"version":"build-2065373602"},"reference-count":14,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,1,30]],"date-time":"2022-01-30T00:00:00Z","timestamp":1643500800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>In this paper, we proposed a method for matching the color and glossiness of an object between different displays by using tone mapping. Since displays have their own characteristics, such as maximum luminance and gamma characteristics, the color and glossiness of an object when displayed differs from one display to another. The color can be corrected by conventional color matching methods, but the glossiness, which greatly changes the impression of an object, needs to be corrected. Our practical challenge was to use tone mapping to correct the high-luminance part, also referred to as the glossy part, which cannot be fully corrected by color matching. Therefore, we performed color matching and tone mapping using high dynamic range images, which can record a wider range of luminance information as input. In addition, we varied the parameters of the tone-mapping function and the threshold at which the function was applied to study the effect on the object\u2019s appearance. We conducted a subjective evaluation experiment using the series category method on glossy-corrected images generated by applying various functions to each display. As a result, we found that the differences in glossiness between displays could be corrected by selecting the optimal function for each display.<\/jats:p>","DOI":"10.3390\/jimaging8020034","type":"journal-article","created":{"date-parts":[[2022,1,31]],"date-time":"2022-01-31T01:46:08Z","timestamp":1643593568000},"page":"34","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Texture Management for Glossy Objects Using Tone Mapping"],"prefix":"10.3390","volume":"8","author":[{"given":"Ikumi","family":"Hirose","sequence":"first","affiliation":[{"name":"Division of Creative Engineering, Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuki","family":"Nagasawa","sequence":"additional","affiliation":[{"name":"Division of Creative Engineering, Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Norimichi","family":"Tsumura","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shoji","family":"Yamamoto","sequence":"additional","affiliation":[{"name":"Tokyo Metropolitan College of Industrial Technology, Tokyo 140-0011, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,30]]},"reference":[{"key":"ref_1","unstructured":"(2021, December 01). BCC Research, Global Markets for Telemedicine Technologies. Available online: https:\/\/www.bccresearch.com\/market-research\/healthcare\/global-markets-for-telemedicine-technologies.html."},{"key":"ref_2","unstructured":"(2020). Video Conferencing-Global Market Outlook (2018\u20132027), Stratistics MRC. Research Report."},{"key":"ref_3","unstructured":"Nishibori, M. (2000, January 10\u201311). Problems and solutions in medical color imaging. Proceedings of the Second International Symposium on Multispectral Imaging and High Accurate Color Reproduction, Chiba, Japan."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1007\/s10278-013-9644-1","article-title":"Color error in the digital camera image capture process","volume":"27","author":"John","year":"2014","journal-title":"J. Digit. 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Psychometric Methods, McGrw-Hill."}],"container-title":["Journal of Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2313-433X\/8\/2\/34\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:11:25Z","timestamp":1760134285000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2313-433X\/8\/2\/34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,30]]},"references-count":14,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2022,2]]}},"alternative-id":["jimaging8020034"],"URL":"https:\/\/doi.org\/10.3390\/jimaging8020034","relation":{},"ISSN":["2313-433X"],"issn-type":[{"type":"electronic","value":"2313-433X"}],"subject":[],"published":{"date-parts":[[2022,1,30]]}}}