Received thermal images quality estimation in thermo vision communication systems

Thermo visual images are produced from thermo vision or infrared cameras and are the source of visual information in the night or darkness for observation of objects and people in widespread security systems. There is usually the need of transmission of thermal images in these surveillance thermo vision security systems. The communication systems used for this purpose introduce the noises and distortions. This leads to quality decreasing of the received thermal images. Therefore, the algorithms necessary to detect and tracking objects and people work poorly and the precision is not satisfactory. The goal of this article is to propose and testing with simulation an appropriate method and algorithm for thermal images quality estimation received from a surveillance thermo vision communication system. The base of this proposition are the methods and algorithms developed for the visible images, but here they are modified according to the specific nature and characteristics of the thermal images and also taking in the account the requirements of the surveillance security systems — to detect and tracking with an appropriate precision the objects and people of interest in area of observation.