About efficiency of THz image processing at using Poisson process for frames captured by THz passive camera

We investigate an influence of sampling order for averaging of the THz images containing in their sequence captured by the THz passive camera developed by ThruVision Inc. We assume that the image noise is governed by Poisson process. Therefore, to suppress a noise it is necessary to choose the images for summing the frames of the passive THz camera in certain order. For example, we choose every second frame during one second for averaging. It allows decreasing a noise influence stronger than at summing all frames. Another improving the image quality may be achieved by adding a noise to an row images captured by the passive THz came with consequent averaging of this image sequence. We demonstrate also high effectiveness of using IR Camera for the detection of objects hidden under the clothes. With this aim one needs to realize gradient of temperature along a travel line of a person.

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