Color night vision ghost imaging based on a wavelet transform

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:46

Enthalten in:

Optics letters - 46(2021), 17 vom: 01. Sept., Seite 4172-4175

Sprache:

Englisch

Beteiligte Personen:

Duan, Deyang [VerfasserIn]
Zhu, Rong [VerfasserIn]
Xia, Yunjie [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Completed 07.09.2021

Date Revised 07.09.2021

published: Print

Citation Status PubMed-not-MEDLINE

doi:

10.1364/OL.434460

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM330125109