Deep image prior for polarization image demosaicking

doi:10.1109/ICBASE59196.2023.10303066

OPT OpenIR > 空间光学技术研究室

	Deep image prior for polarization image demosaicking
	Shi, Yinxia 1; Wen, Desheng2 ; Jiang, Tuochi 2
	2023
会议名称	4th International Conference on Big Data and Artificial Intelligence and Software Engineering, ICBASE 2023
会议录名称	2023 4th International Conference on Big Data and Artificial Intelligence and Software Engineering, ICBASE 2023
页码	154-157
会议日期	2023-08-25
会议地点	Hybrid, Nanjing, China
出版者	Institute of Electrical and Electronics Engineers Inc.
产权排序	1
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.
关键词	polarization neural network interpolation
作者部门	空间光学技术研究室
DOI	10.1109/ICBASE59196.2023.10303066
收录类别	EI
ISBN号	9798350329490
语种	英语
EI入藏号	20234915151195
引用统计
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/97047
专题	空间光学技术研究室
作者单位	1.University of Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi'an, China; 2.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]:Institute of Electrical and Electronics Engineers Inc.,2023:154-157.

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