Tone mapping based on variational model in gradient domain
Due to the low dynamic range image which was generated by the gradient domain high dynamic range compression algorithm contain the artificial boundaries and local detail distortions,a variational model in gradient domain was proposed to improve the performance of the traditional algorithm.First of a...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015001/ |
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| _version_ | 1841539654610845696 |
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| author | IZhi-hong X Lan-fei ZHAO Chi ZHANG Zhong-min ZHANG |
| author_facet | IZhi-hong X Lan-fei ZHAO Chi ZHANG Zhong-min ZHANG |
| author_sort | IZhi-hong X |
| collection | DOAJ |
| description | Due to the low dynamic range image which was generated by the gradient domain high dynamic range compression algorithm contain the artificial boundaries and local detail distortions,a variational model in gradient domain was proposed to improve the performance of the traditional algorithm.First of all,a variational model in gradient domain was introduced to compress dynamic range,meanwhile details and edges were preserved simultaneously.Afterwards,the rate of convergence was improved by introducing the ideology of Gibbs sampler.Eventually,the improved method was employed to obtain the optimal solution of the variational model.Experimental results demonstrate that proposed algorithm reduces the degree of artificial boundaries,meanwhile low dynamic range image represents excellent capacity of detail preservation.Moreover,the real-time performance is guaranteed by the improved steepest descent method. |
| format | Article |
| id | doaj-art-5dc6271532854803bb447a0a2263ac83 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-5dc6271532854803bb447a0a2263ac832025-01-14T06:45:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-01-01361859689709Tone mapping based on variational model in gradient domainIZhi-hong XLan-fei ZHAOChi ZHANGZhong-min ZHANGDue to the low dynamic range image which was generated by the gradient domain high dynamic range compression algorithm contain the artificial boundaries and local detail distortions,a variational model in gradient domain was proposed to improve the performance of the traditional algorithm.First of all,a variational model in gradient domain was introduced to compress dynamic range,meanwhile details and edges were preserved simultaneously.Afterwards,the rate of convergence was improved by introducing the ideology of Gibbs sampler.Eventually,the improved method was employed to obtain the optimal solution of the variational model.Experimental results demonstrate that proposed algorithm reduces the degree of artificial boundaries,meanwhile low dynamic range image represents excellent capacity of detail preservation.Moreover,the real-time performance is guaranteed by the improved steepest descent method.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015001/high dynamic range imagegradient domainvariational modelsteepest descent methodGibbs samplerPoisson equation |
| spellingShingle | IZhi-hong X Lan-fei ZHAO Chi ZHANG Zhong-min ZHANG Tone mapping based on variational model in gradient domain Tongxin xuebao high dynamic range image gradient domain variational model steepest descent method Gibbs sampler Poisson equation |
| title | Tone mapping based on variational model in gradient domain |
| title_full | Tone mapping based on variational model in gradient domain |
| title_fullStr | Tone mapping based on variational model in gradient domain |
| title_full_unstemmed | Tone mapping based on variational model in gradient domain |
| title_short | Tone mapping based on variational model in gradient domain |
| title_sort | tone mapping based on variational model in gradient domain |
| topic | high dynamic range image gradient domain variational model steepest descent method Gibbs sampler Poisson equation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015001/ |
| work_keys_str_mv | AT izhihongx tonemappingbasedonvariationalmodelingradientdomain AT lanfeizhao tonemappingbasedonvariationalmodelingradientdomain AT chizhang tonemappingbasedonvariationalmodelingradientdomain AT zhongminzhang tonemappingbasedonvariationalmodelingradientdomain |