A Fast Self-Adaptive Algorithm for the Enhancement of Infrared Electric Image

The infrared electric images always have poor vision effects due to both the limitation in thermograph technology and surrounding interferences. Thus, the enhancement of such images is of great significance. A fast self-adaptive enhancement algorithm is presented on the basis of Bate function. In order to meet the real-time demand of online monitoring, a fast algorithm is put forward to complete the histogram transform by table-look-up operations, and thus the time-consuming repeats of integration of Beta function is avoided. Furthermore, PSO algorithm is combined with Chaos system, and then is employed to search the parameters of Beta function adaptively. The experimental results validate that the present method is effective and practical.