LWIR image visualization preserving local details and global distribution by gradient-domain image reconstruction

Takashi Shibata; Masayuki Tanaka; Masatoshi Okutomi

doi:10.1117/12.2261266

3 May 2017 LWIR image visualization preserving local details and global distribution by gradient-domain image reconstruction

Takashi Shibata, Masayuki Tanaka, Masatoshi Okutomi

Author Affiliations +

Proceedings Volume 10178, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII; 101780X (2017) https://doi.org/10.1117/12.2261266
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

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.

Conference Presentation

Citation Download Citation

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 (3 May 2017); https://doi.org/10.1117/12.2261266

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