Deep image prior for polarization image demosaicking
文献类型:会议论文
作者 | Shi, Yinxia2; Wen, Desheng1![]() |
出版日期 | 2023 |
会议日期 | 2023-08-25 |
会议地点 | Hybrid, Nanjing, China |
关键词 | polarization neural network interpolation |
DOI | 10.1109/ICBASE59196.2023.10303066 |
页码 | 154-157 |
英文摘要 | The Division of Focal Plane (DoFP) image sensors can obtain the polarization information of the object surface. However, the polarization images generated by the DoFP image sensors have the problem of instantaneous field of view (IFoV) error and resolution reduction. To solve this problem, we propose a method based on deep image prior to solve this problem. Our method employs direct adaptation of the generator network to a single low-resolution polarized image and does not require training on a large dataset. Comparing our proposed method with other polarization image interpolation methods, our method performs better in visual, peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM). © 2023 IEEE. |
产权排序 | 1 |
会议录 | 2023 4th International Conference on Big Data and Artificial Intelligence and Software Engineering, ICBASE 2023
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会议录出版者 | Institute of Electrical and Electronics Engineers Inc. |
语种 | 英语 |
ISBN号 | 9798350329490 |
源URL | [http://ir.opt.ac.cn/handle/181661/97047] ![]() |
专题 | 西安光学精密机械研究所_空间光学应用研究室 |
作者单位 | 1.Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi'an, China 2.University of Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi'an, China; |
推荐引用方式 GB/T 7714 | Shi, Yinxia,Wen, Desheng,Jiang, Tuochi. Deep image prior for polarization image demosaicking[C]. 见:. Hybrid, Nanjing, China. 2023-08-25. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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