Robust data analysis and imaging with computational ghost imaging

التفاصيل البيبلوغرافية
العنوان: Robust data analysis and imaging with computational ghost imaging
المؤلفون: Liu, Jiangtao, Cai, Xun-Ming, Huang, Jin-Bao, Luo, Kun, Li, HongXu, Li, Weimin, Zhang, De-Jian, Wu, Zhenhua
سنة النشر: 2021
مصطلحات موضوعية: Computer Science::Computer Vision and Pattern Recognition, Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Physical sciences, Electrical Engineering and Systems Science - Image and Video Processing, Optics (physics.optics), Physics - Optics
الوصف: Nowadays the world has entered into the digital age, in which the data analysis and visualization have become more and more important. In analogy to imaging the real object, we demonstrate that the computational ghost imaging can image the digital data to show their characteristics, such as periodicity. Furthermore, our experimental results show that the use of optical imaging methods to analyse data exhibits unique advantages, especially in anti-interference. The data analysis with computational ghost imaging can be well performed against strong noise, random amplitude and phase changes in the binarized signals. Such robust data data analysis and imaging has an important application prospect in big data analysis, meteorology, astronomy, economics and many other fields.
اللغة: English
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2580e5063b3abc6f100b0f23c136400eTest
http://arxiv.org/abs/2111.03790Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....2580e5063b3abc6f100b0f23c136400e
قاعدة البيانات: OpenAIRE