An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics
Aiming at the characteristics such as low contrast,unclear imaging,over-dark or over-bright overall imaging and noise interference in ultraviolet image itself,a Curvelet domain ultraviolet image enhancement algorithm was proposed based on the masking characteristics of human vision.Firstly,the ultra...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2019-03-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019042/ |
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| _version_ | 1841530505837674496 |
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| author | Bin ZHANG Peng,YUANJie WU Lingqing SUN Qiming FU Yongze ZHANG Yu LU |
| author_facet | Bin ZHANG Peng,YUANJie WU Lingqing SUN Qiming FU Yongze ZHANG Yu LU |
| author_sort | Bin ZHANG |
| collection | DOAJ |
| description | Aiming at the characteristics such as low contrast,unclear imaging,over-dark or over-bright overall imaging and noise interference in ultraviolet image itself,a Curvelet domain ultraviolet image enhancement algorithm was proposed based on the masking characteristics of human vision.Firstly,the ultraviolet image information was decomposed to different scales and direction sub-bands by Curvelet transform.Secondly,the HVS model was established according to each sub-band,and with its masking characteristics,the nonlinear gain of the high frequency component was used to improve the image contrast.Meanwhile,the low frequency component of nonlinear grayscale stretching could improve the overall brightness of the image.Finally,the processed high and low frequency components were reconstructed by Curvelet backward to obtain enhanced ultraviolet images.The experimental results show that the enhanced image accords with the extraction of image information from human vision and highlights the contour information of edge and target.In addition,it has obvious effect in subjective vision and quantitative index. |
| format | Article |
| id | doaj-art-2e5f2e6ba1f2444ea53fdec5e51510cf |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2019-03-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-2e5f2e6ba1f2444ea53fdec5e51510cf2025-01-15T03:03:12ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-03-01359910659590702An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristicsBin ZHANGPeng,YUANJie WULingqing SUNQiming FUYongze ZHANGYu LUAiming at the characteristics such as low contrast,unclear imaging,over-dark or over-bright overall imaging and noise interference in ultraviolet image itself,a Curvelet domain ultraviolet image enhancement algorithm was proposed based on the masking characteristics of human vision.Firstly,the ultraviolet image information was decomposed to different scales and direction sub-bands by Curvelet transform.Secondly,the HVS model was established according to each sub-band,and with its masking characteristics,the nonlinear gain of the high frequency component was used to improve the image contrast.Meanwhile,the low frequency component of nonlinear grayscale stretching could improve the overall brightness of the image.Finally,the processed high and low frequency components were reconstructed by Curvelet backward to obtain enhanced ultraviolet images.The experimental results show that the enhanced image accords with the extraction of image information from human vision and highlights the contour information of edge and target.In addition,it has obvious effect in subjective vision and quantitative index.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019042/ultraviolet imagemasking characteristicCurvelet transformnonlinear gainenhancement |
| spellingShingle | Bin ZHANG Peng,YUANJie WU Lingqing SUN Qiming FU Yongze ZHANG Yu LU An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics Dianxin kexue ultraviolet image masking characteristic Curvelet transform nonlinear gain enhancement |
| title | An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics |
| title_full | An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics |
| title_fullStr | An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics |
| title_full_unstemmed | An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics |
| title_short | An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics |
| title_sort | ultraviolet image enhancement algorithm in curvelet domain based on human visual characteristics |
| topic | ultraviolet image masking characteristic Curvelet transform nonlinear gain enhancement |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019042/ |
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