Fast approach to infrared image restoration based on shrinkage functions calibration
文献类型：期刊论文
| 作者 | Zhang CS(张程硕); Shi ZL(史泽林) ; Xu BS(徐保树); Feng B(冯斌)
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| 刊名 | Optical Engineering
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| 出版日期 | 2016 |
| 卷号 | 55期号:5页码:1-11 |
| 关键词 | infrared system image restoration shrinkage function undecimated wavelet transform |
| ISSN号 | 0091-3286 |
| 产权排序 | 1 |
| 通讯作者 | 张程硕 |
| 中文摘要 | High-quality image restoration in real time is a challenge for infrared imaging systems. We present a fast approach to infrared image restoration based on shrinkage functions calibration. Rather than directly modeling the prior of sharp images to obtain the shrinkage functions, we calibrate them for restoration directly by using the acquirable sharp and blurred image pairs from the same infrared imaging system. The calibration method is employed to minimize the sum of squared errors between sharp images and restored images from the blurred images. Our restoration algorithm is noniterative and its shrinkage functions are stored in the look-up tables, so an architecture solution of pipeline structure can work in real time. We demonstrate the effectiveness of our approach by testing its quantitative performance from simulation experiments and its qualitative performance from a developed wavefront coding infrared imaging system. |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 类目[WOS] | Optics |
| 研究领域[WOS] | Optics |
| 关键词[WOS] | WAVELET ; CAMERA ; DOMAIN |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000377588800007 |
| 源URL | [http://ir.sia.cn/handle/173321/18676]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 推荐引用方式 GB/T 7714 | Zhang CS,Shi ZL,Xu BS,et al. Fast approach to infrared image restoration based on shrinkage functions calibration[J]. Optical Engineering,2016,55(5):1-11. |
| APA | Zhang CS,Shi ZL,Xu BS,&Feng B.(2016).Fast approach to infrared image restoration based on shrinkage functions calibration.Optical Engineering,55(5),1-11. |
| MLA | Zhang CS,et al."Fast approach to infrared image restoration based on shrinkage functions calibration".Optical Engineering 55.5(2016):1-11. |
入库方式： OAI收割
来源：沈阳自动化研究所
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