Abstract
Night vision imaging is a technology that converts objects not visible to the human eye into visible images for night scenes and other low-light environments. However, conventional night vision imaging can directly produce only grayscale images. Here, we report a novel, to the best of our knowledge, color night vision imaging method based on a ghost imaging framework and optimized coincidence measurement based on wavelet transformation. An interesting phenomenon is that color night vision image can be directly produced by this new method. To our knowledge, this is the first direct color night vision imaging method without any conventional pseudocolor image fusion techniques. The experimental results show that this method can restore color very well for some objects. Moreover, the color of the night vision image is more natural and friendly to the human eye than that of conventional color night vision images. Due to the advantages of wavelet transforms, this method has high reconstruction ability for distorted signals.
© 2021 Optical Society of America
Full Article | PDF ArticleMore Like This
Deyang Duan and Yunjie Xia
Opt. Express 29(4) 4978-4985 (2021)
Yang Ni, Dingfu Zhou, Sheng Yuan, Xing Bai, Zhao Xu, Jie Chen, Cong Li, and Xin Zhou
Opt. Lett. 46(8) 1840-1843 (2021)
Hang Liu, Yani Chen, Li Zhang, Da-Hai Li, and Xiaowei Li
Opt. Lett. 47(3) 569-572 (2022)