| Shen Xiaohe (申小禾),Liu Jinghong.[J].高技术通讯(英文),2017,23(4):343~349 |
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| Multi-exposure fusion for high dynamic range scene |
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| DOI：10.3772/j.issn.1006-6748.2017.04.001 |
| 中文关键词: |
| 英文关键词: multi-exposure fusion, high dynamic range scene, dual-tree complex wavelet transform (DT-CWT), brightness analysis |
| 基金项目: |
| Author Name | Affiliation | | Shen Xiaohe (申小禾) | | | Liu Jinghong | |
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| 中文摘要: |
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| 英文摘要: |
| Due to the existing limited dynamic range a camera cannot reveal all the details in a high-dynamic range scene. In order to solve this problem, this paper presents a multi-exposure fusion method for getting high quality images in high dynamic range scene. First, a set of multi-exposure images is obtained by multiple exposures in a same scene and their brightness condition is analyzed. Then, multi-exposure images under the same scene are decomposed using dual-tree complex wavelet transform (DT-CWT), and their low and high frequency components are obtained. Weight maps according to the brightness condition are assigned to the low components for fusion. Maximizing the region Sum Modified-Laplacian (SML) is adopted for high-frequency components fusing. Finally, the fused image is acquired by subjecting the low and high frequency coefficients to inverse DT-CWT. Experimental results show that the proposed approach generates high quality results with uniform distributed brightness and rich details. The proposed method is efficient and robust in varies scenes. |
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