An encoder-decoder based deep architecture for visible to near infrared image transformation

2021 ◽  
Author(s):  
Shashaank M Aswatha ◽  
Sai Phani Kumar Malladi ◽  
Jayanta Mukherjee
2015 ◽  
pp. 145-150
Author(s):  
Qiang Zhang ◽  
Fei Zhou ◽  
Fan Yang ◽  
Qingmin Liao
Keyword(s):  

2010 ◽  
Vol 97 (5) ◽  
pp. 737-743 ◽  
Author(s):  
M. Keramidas ◽  
V. Josserand ◽  
C. A. Righini ◽  
C. Wenk ◽  
C. Faure ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3610
Author(s):  
Adrián J. Torregrosa ◽  
Emir Karamehmedović ◽  
Haroldo Maestre ◽  
María Luisa Rico ◽  
Juan Capmany

Up-conversion sensing based on optical heterodyning of an IR (infrared) image with a local oscillator laser wave in a nonlinear optical sum-frequency mixing (SFM) process is a practical solution to circumvent some limitations of IR image sensors in terms of signal-to-noise ratio, speed, resolution, or cooling needs in some demanding applications. In this way, the spectral content of an IR image can become spectrally shifted to the visible/near infrared (VIS/NWIR) and then detected with silicon focal plane arrayed sensors (Si-FPA), such as CCD/CMOS (charge-coupled and complementary metal-oxide-semiconductor devices). This work is an extension of a previous study where we recently introduced this technique in the context of optical communications, in particular in FSOC (free-space optical communications). Herein, we present an image up-conversion system based on a 1064 nm Nd3+: YVO4 solid-state laser with a KTP (potassium titanyl phosphate) nonlinear crystal located intra-cavity where a laser beam at 1550 nm 2D spatially-modulated with a binary Quick Response (QR) code is mixed, giving an up-converted code image at 631 nm that is detected with an Si-based camera. The underlying technology allows for the extension of other IR spectral allocations, construction of compact receivers at low cost, and provides a natural way for increased protection against eavesdropping.


2020 ◽  
Vol 10 (23) ◽  
pp. 8702
Author(s):  
Dong-Min Son ◽  
Hyuk-Ju Kwon ◽  
Sung-Hak Lee

This study proposes a method of blending visible and near-infrared (NIR) images to enhance their edge details and local contrast based on the Laplacian pyramid and principal component analysis (PCA). In the proposed method, both the Laplacian pyramid and PCA are implemented to generate a radiance map. Using the PCA algorithm, the soft-mixing method and the mask-skipping filter were applied when the images were fused. The color compensation method uses the ratio between the radiance map fused by the Laplacian pyramid and the PCA algorithm and the luminance channel of the visible image to preserve the chrominance of the visible image. The results show that the proposed method improves edge details and local contrast effectively.


2012 ◽  
Vol 29 (8) ◽  
pp. 2092-2103 ◽  
Author(s):  
David C. Turner ◽  
Delaram Moshkelani ◽  
Colby S. Shemesh ◽  
David Luc ◽  
Hailing Zhang

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