A Simple Highlight Detection and Ｒecovery Methods for Single Grayscale Image
Specular detection and removal has been a hot topic in the field of computer vision． Most of the existing methods are for color images，but grayscale images are widely used，for a single grayscale image with only intensity information，specular detection and removal becomes a difficult issue. In this p...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2018-04-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1510 |
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| _version_ | 1849227122272370688 |
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| author | YIN Fang CHEN Tian-tian FU Zi-ru YU Xiao-yang |
| author_facet | YIN Fang CHEN Tian-tian FU Zi-ru YU Xiao-yang |
| author_sort | YIN Fang |
| collection | DOAJ |
| description | Specular detection and removal has been a hot topic in the field of computer vision． Most of the existing methods are for color images，but grayscale images are widely used，for a single grayscale image with only intensity information，specular detection and removal becomes a difficult issue. In this paper，a simple specular detection method of single grayscale image is proposed. Intensity-Saturation ( MS) diagram method is improved and the distribution of diffuse component and specular component is used to obtain high brightness range. Possible specular area is detected with proportion. Finally，BSCB model-based the image restoration method removal highlights. Experimental results show that specular detection algorithm can better deal with the details of specular areas，find specular reflection area effectively in the single grayscale image and improve the repair rate specular areas of the image. |
| format | Article |
| id | doaj-art-f3ff85ab95b84d0592ddc33e8a91968d |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2018-04-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-f3ff85ab95b84d0592ddc33e8a91968d2025-08-24T03:36:15ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832018-04-012302869010.15938/j.jhust.2018.02.015A Simple Highlight Detection and Ｒecovery Methods for Single Grayscale ImageYIN Fang0CHEN Tian-tian1FU Zi-ru2YU Xiao-yang3School of Computer Science and Technology，Harbin University of Science and Technology，Harbin 150080，China;Instrument Science and Technology Postdoctoral Ｒesearch Station，Harbin University of Science and Technology，Harbin 150080，ChinaSchool of Computer Science and Technology，Harbin University of Science and Technology，Harbin 150080，ChinaSchool of Computer Science and Technology，Harbin University of Science and Technology，Harbin 150080，ChinaInstrument Science and Technology Postdoctoral Ｒesearch Station，Harbin University of Science and Technology，Harbin 150080，ChinaSpecular detection and removal has been a hot topic in the field of computer vision． Most of the existing methods are for color images，but grayscale images are widely used，for a single grayscale image with only intensity information，specular detection and removal becomes a difficult issue. In this paper，a simple specular detection method of single grayscale image is proposed. Intensity-Saturation ( MS) diagram method is improved and the distribution of diffuse component and specular component is used to obtain high brightness range. Possible specular area is detected with proportion. Finally，BSCB model-based the image restoration method removal highlights. Experimental results show that specular detection algorithm can better deal with the details of specular areas，find specular reflection area effectively in the single grayscale image and improve the repair rate specular areas of the image.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1510highlights detectionreflection modelintensity-saturation diagrambscb model |
| spellingShingle | YIN Fang CHEN Tian-tian FU Zi-ru YU Xiao-yang A Simple Highlight Detection and Ｒecovery Methods for Single Grayscale Image Journal of Harbin University of Science and Technology highlights detection reflection model intensity-saturation diagram bscb model |
| title | A Simple Highlight Detection and Ｒecovery Methods for Single Grayscale Image |
| title_full | A Simple Highlight Detection and Ｒecovery Methods for Single Grayscale Image |
| title_fullStr | A Simple Highlight Detection and Ｒecovery Methods for Single Grayscale Image |
| title_full_unstemmed | A Simple Highlight Detection and Ｒecovery Methods for Single Grayscale Image |
| title_short | A Simple Highlight Detection and Ｒecovery Methods for Single Grayscale Image |
| title_sort | simple highlight detection and recovery methods for single grayscale image |
| topic | highlights detection reflection model intensity-saturation diagram bscb model |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1510 |
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