基于图像修复技术的目标可见光伪装效果评价 下载: 1291次
王鹏烨, 赵德辉, 李明锋. 基于图像修复技术的目标可见光伪装效果评价[J]. 激光与光电子学进展, 2018, 55(3): 031011.
Pengye Wang, Dehui Zhao, Mingfeng Li. Optical Camouflage Effect Assessment Based on Digital Image Inpainting Technology[J]. Laser & Optoelectronics Progress, 2018, 55(3): 031011.
[1] ForsythI. Second World War British military camouflage: designing deception[M]. London: Bloomsbury Publishing, 2017.
[3] 项衍, 叶擎昊, 刘建国, 等. 基于图像边缘检测法反演大气边界层高度[J]. 中国激光, 2016, 43(7): 0704003.
[4] 郭彤, 华文深, 刘恂, 等. 一种基于高光谱的光学伪装效果综合评价方法[J]. 激光与光电子学进展, 2016, 53(10): 101002.
Guo T, Hua W S, Liu X, et al. Comprehensive evaluation of optical camouflage effect based on hyperspectra[J]. Laser &Optoelectronics Progress, 2016, 53(10): 101002.
[5] 王贺, 白廷柱. 基于容限近集理论的光学伪装评价研究[J]. 光学学报, 2012, 32(12): 1210001.
[6] 贾其, 吕绪良, 吴超, 等. 人眼视觉注意机制用于伪装效果评价[J]. 应用科学学报, 2011, 29(3): 294-298.
Jia Q, Lü X L, Wu C, et al. Evaluation of camouflage effectiveness using human visual attention mechanism[J]. Journal of Applied Sciences, 2011, 29(3): 294-298.
[8] Criminisi A, Pérez P, Toyama K. Region filling and object removal by exemplar-based image inpainting[J]. IEEE Transactions on Image Processing, 2004, 13(9): 1200-1212.
[10] 李俊柏. 数字图像修复技术的研究[D]. 杭州: 浙江理工大学, 2015.
Li JB. The research on digital image inpainting technology[D]. Hangzhou:Zhejiang Sci-Tec University, 2015.
[11] 吴金建. 基于人类视觉系统的图像信息感知和图像质量评价[D]. 西安: 西安电子科技大学, 2014.
Wu JJ. Image information perception and quality assessment based on the human visual system[D]. Xi'an:Xidian University, 2014.
王鹏烨, 赵德辉, 李明锋. 基于图像修复技术的目标可见光伪装效果评价[J]. 激光与光电子学进展, 2018, 55(3): 031011. Pengye Wang, Dehui Zhao, Mingfeng Li. Optical Camouflage Effect Assessment Based on Digital Image Inpainting Technology[J]. Laser & Optoelectronics Progress, 2018, 55(3): 031011.