| 散焦图像的深度恢复方法综述 |
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| 引用本文： | 吴秋峰,王宽全.散焦图像的深度恢复方法综述[J].智能计算机与应用,2013(6):54-56. |
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| 作者姓名： | 吴秋峰 王宽全 |
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| 作者单位： | [1]哈尔滨工业大学计算机科学与技术学院,哈尔滨150001 [2]东北农业大学理学院。哈尔滨150030,哈尔滨150001 |
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| 摘 要： | 散焦图像的深度恢复是根据两幅散焦图像模糊程度不同的特点，从两幅散焦图像恢复场景的深度信息，该方法已成功应用于工业检测、医学和军事等领域。结合国内外相关进展，主要论述了被动式散焦图像的深度恢复的确定性方法、统计方法、正则化方法和偏微分方程方法，并且分析了四种方法的优劣性。
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| 关 键 词： | 散焦图像的深度恢复 确定性方法 正则化方法 统计方法 |
Survey of Depth From Defocus Method |
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| WU Qiufeng,＇,WANG Kuanquan.Survey of Depth From Defocus Method[J].INTELLIGENT COMPUTER AND APPLICATIONS,2013(6):54-56. |
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| Authors: | WU Qiufeng ＇ WANG Kuanquan |
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| Affiliation: | 1 ( 1 School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China ; 2 College of Science, Northeast Agricultural University, Harbin 150030, China) |
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| Abstract: | Depth from dcfocus is to retrieve depth of scene from two defocused images according to characteristics of differ- ent blur of two defocused images, which has been applied in industrial detection, medical science and military. Combining with research progress at home and abroad, this paper discusses determinative method, statistical method, regularized method and partial differential equation method, which solve passive depth from defocus, and analyzes superiority and infe- riority of those methods. |
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| Keywords: | Depth From Defocus Determinative Method Regularized Method Statistical Method |
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