Recent developments of long wave infrared (LWIR) devices and LWIR sensor technologies enable us to obtain an LWIR image with high bit depth and low signal-noise ratio. To exploit these recent developments, we propose a novel temperature visualization method that can simultaneously represent global distribution and local details of the input temperature. The global temperature distribution is represented by pseudo color. On the other hand, to manipulate the local temperature details, the output luminance is generated by gradient-domain image reconstruction. Experimental results on real LWIR images show the effectiveness of the proposed method.
Takashi Shibata, Masayuki Tanaka, and Masatoshi Okutomi, "LWIR image visualization preserving local details and global distribution by gradient-domain image reconstruction," Proc. SPIE 10178, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII, 101780X (Presented at SPIE Defense + Security: April 12, 2017; Published: 3 May 2017); https://doi.org/10.1117/12.2261266.
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