| Sparse representation based on multiscale bilateral filter for infrared image using compressed sensing | |
| Han, Jiaojiao1; Qin, Hanlin1; Leng, Hanbing2; Yan, Xiang1; Li, Jia1,3; Zhou, Huixin1; Qin, Hanlin (hlqin@mail.xidian.edu.cn) | |
| 2015 | |
| 会议名称 | Applied Optics and Photonics, China: Optical and Optoelectronic Sensing and Imaging Technology, AOPC 2015 |
| 会议录名称 | AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology |
| 会议日期 | 2015-05-06 |
| 会议地点 | Beijing, China |
| 出版地 | SPIE |
| 产权排序 | 2 |
| 摘要 | Compressed sensing is an arisen and significant theory, which has been widely used in infrared image reconstruction and many methods based on compressed sensing have been proposed. However, the existing methods can hardly accurately reconstruct infrared images. Considering that the sparsity of an infrared image plays a crucial role in compressed sensing to accurately reconstruct image, this paper presents a new sparse representation (MBFSF) that integrates the multiscale bilateral filter with shearing filter to overcome the above disadvantage. Firstly, one approximation subband image and a series of detail subband images at different scales and directions are obtained by the MBFSF. Then, in view of the feature that the most information is preserved in the approximation subband image, the proposed method only measures the detail subband images and preserves the approximation subband image. Subsequently, a very sparse random measurement matrix is used for the measurement at the detail subband images to reduce the computation cost and storage of large random measurement matrices in compressed sensing. Finally, an accelerated iterative hard thresholding algorithm is employed to reconstruct the infrared image. Experimental results show that the proposed method has superior performance in terms of reconstruction accuracy and compares favorably with existing compressed sensing methods, which is an effective method in high-resolution infrared imaging based on compressed sensing. © 2015 SPIE. |
| 作者部门 | 动态光学成像研究室 |
| DOI | 10.1117/12.2202706 |
| 收录类别 | EI ; ISTP |
| 语种 | 英语 |
| ISSN号 | 0277786X |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/27702 |
| 专题 | 飞行器光学成像与测量技术研究室 |
| 通讯作者 | Qin, Hanlin (hlqin@mail.xidian.edu.cn) |
| 作者单位 | 1.School of Physics and Optoelectronic Engineering, Xidian University, Xi'an, China 2.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China 3.Science Institute, Air Force Engineering University, Xi'an, China |
| 推荐引用方式 GB/T 7714 | Han, Jiaojiao,Qin, Hanlin,Leng, Hanbing,et al. Sparse representation based on multiscale bilateral filter for infrared image using compressed sensing[C]. SPIE,2015. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Sparse representatio（481KB） | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 | ||
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