The combined denoising of images on the optical and thermal range onboard the UAV

Evgenii A. Semenishchev; Viacheslav Voronin; Agaian Sos; Aleksandr Zelensky; Irina Tolstova

doi:10.1117/12.2558482

22 May 2020 The combined denoising of images on the optical and thermal range onboard the UAV

Evgenii A. Semenishchev, Viacheslav Voronin, Agaian Sos, Aleksandr Zelensky, Irina Tolstova

Author Affiliations +

Proceedings Volume 11401, Real-Time Image Processing and Deep Learning 2020; 114010G (2020) https://doi.org/10.1117/12.2558482
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

When analyzing data recorded on mobile devices (including unmanned aerial vehicles and cars), additional errors arise due to the interframe blur effect and relative interframe displacement. The elimination of the noise component in such conditions is very difficult since the processing can be carried out the only frame by frame eliminating the possibility of multi-frame analysis. The paper presents an approach that allows performing complex primary processing of data obtained by a group of sensors operating in the visible and cameras capturing data in the infrared range. As a device used to calculate operations performed by an unmanned vehicle, including control, data collection and initial processing on nVidia Jetson 1 is used. A pair of cameras with a resolution of 1980x1080 pixels with a frequency of 10 frames on second, as well as SEAK thermal imaging camera with a resolution of 320x240 pixels, are used as data sensors. The algorithm presented in the work is based on a step-by-step identification of stationary areas on a series of images, the search for their correspondence and simplification. At the next stage, a local reduction of the noise component is performed using the method based on multicriterial smoothing processing. At the final stage, the operation of the complex application of parameters to filter on a series of images obtained in various electromagnetic ranges is performed.

Citation Download Citation

Evgenii A. Semenishchev, Viacheslav Voronin, Agaian Sos, Aleksandr Zelensky, and Irina Tolstova "The combined denoising of images on the optical and thermal range onboard the UAV", Proc. SPIE 11401, Real-Time Image Processing and Deep Learning 2020, 114010G (22 May 2020); https://doi.org/10.1117/12.2558482

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