CN108537760A - 一种基于大气散射模型的红外图像增强方法 - Google Patents
一种基于大气散射模型的红外图像增强方法 Download PDFInfo
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- CN108537760A CN108537760A CN201810582601.6A CN201810582601A CN108537760A CN 108537760 A CN108537760 A CN 108537760A CN 201810582601 A CN201810582601 A CN 201810582601A CN 108537760 A CN108537760 A CN 108537760A
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- 238000000354 decomposition reaction Methods 0.000 claims abstract description 11
- 238000003709 image segmentation Methods 0.000 claims abstract description 7
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30192—Weather; Meteorology
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Cited By (5)
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CN109801238A (zh) * | 2019-01-10 | 2019-05-24 | 南京信息职业技术学院 | 一种基于简化大气散射模型的弱光照图像增强方法 |
CN110175962A (zh) * | 2019-05-22 | 2019-08-27 | 南京信息职业技术学院 | 一种基于区域显著性识别的红外图像增强方法 |
CN110175972A (zh) * | 2019-05-29 | 2019-08-27 | 南京信息职业技术学院 | 一种基于透射图融合的红外图像增强方法 |
CN110555814A (zh) * | 2019-08-30 | 2019-12-10 | 深圳市商汤科技有限公司 | 图像去雾处理方法及装置、存储介质 |
CN113837971A (zh) * | 2021-09-30 | 2021-12-24 | 重庆邮电大学 | 一种基于暗通道和分数阶多变分正则化的图像去雾方法 |
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CN103971337A (zh) * | 2014-04-29 | 2014-08-06 | 杭州电子科技大学 | 一种利用大气传输特征的红外图像去雾霾方法 |
CN104822055A (zh) * | 2015-05-19 | 2015-08-05 | 重庆大学 | 一种针对雾天的红外热像监控系统及方法 |
CN105913387A (zh) * | 2016-04-01 | 2016-08-31 | 浙江大学 | 基于Angstrom指数的可见光及近红外多波段遥感图像去雾方法 |
CN106056557A (zh) * | 2016-06-12 | 2016-10-26 | 南京邮电大学 | 一种基于改进大气散射模型的单幅图像快速去雾方法 |
US20170109870A1 (en) * | 2015-10-16 | 2017-04-20 | Sogang University Research Foundation | Image processing device |
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2018
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CN103971337A (zh) * | 2014-04-29 | 2014-08-06 | 杭州电子科技大学 | 一种利用大气传输特征的红外图像去雾霾方法 |
CN104822055A (zh) * | 2015-05-19 | 2015-08-05 | 重庆大学 | 一种针对雾天的红外热像监控系统及方法 |
US20170109870A1 (en) * | 2015-10-16 | 2017-04-20 | Sogang University Research Foundation | Image processing device |
CN105913387A (zh) * | 2016-04-01 | 2016-08-31 | 浙江大学 | 基于Angstrom指数的可见光及近红外多波段遥感图像去雾方法 |
CN106056557A (zh) * | 2016-06-12 | 2016-10-26 | 南京邮电大学 | 一种基于改进大气散射模型的单幅图像快速去雾方法 |
Non-Patent Citations (1)
Title |
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XUAN DONG: "fast efficient algorithm for enhancement of low lighting video", 《2011 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO》 * |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109801238A (zh) * | 2019-01-10 | 2019-05-24 | 南京信息职业技术学院 | 一种基于简化大气散射模型的弱光照图像增强方法 |
CN109801238B (zh) * | 2019-01-10 | 2023-05-23 | 南京信息职业技术学院 | 一种基于简化大气散射模型的弱光照图像增强方法 |
CN110175962A (zh) * | 2019-05-22 | 2019-08-27 | 南京信息职业技术学院 | 一种基于区域显著性识别的红外图像增强方法 |
CN110175962B (zh) * | 2019-05-22 | 2023-02-10 | 南京信息职业技术学院 | 一种基于区域显著性识别的红外图像增强方法 |
CN110175972A (zh) * | 2019-05-29 | 2019-08-27 | 南京信息职业技术学院 | 一种基于透射图融合的红外图像增强方法 |
CN110175972B (zh) * | 2019-05-29 | 2023-02-14 | 南京信息职业技术学院 | 一种基于透射图融合的红外图像增强方法 |
CN110555814A (zh) * | 2019-08-30 | 2019-12-10 | 深圳市商汤科技有限公司 | 图像去雾处理方法及装置、存储介质 |
CN113837971A (zh) * | 2021-09-30 | 2021-12-24 | 重庆邮电大学 | 一种基于暗通道和分数阶多变分正则化的图像去雾方法 |
CN113837971B (zh) * | 2021-09-30 | 2023-08-04 | 重庆邮电大学 | 一种基于暗通道和分数阶多变分正则化的图像去雾方法 |
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