中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Deep image prior for polarization image demosaicking

文献类型:会议论文

作者Shi, Yinxia2; Wen, Desheng1; Jiang, Tuochi1
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
DOI10.1109/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
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

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。