A robust algorithm for compression and reconstruction of infrared thermal image sequence

Abstract

Quickly and accurately processing and saving high resolution thermal image sequences is a key technique in the field of thermal wave nondestructive testing. Based on the theory of thermal wave attenuation, this paper proposed a simple, fast and anti-noise global compression and reconstruction algorithm and showed the ability to improve the reliability and speed. Firstly the new algorithm divides the thermal image spatially and classifies thermal sequence. Then each curve in different temperature drop periods was fitted and lastly the compression and reconstruction of thermal sequence is fulfilled simultaneously in space and time by using the typical classified curve parameters as the compression and reconstruction parameters of thermal sequence. To verify the effect of the new algorithm, the experiment and comparison were carried out. The results show that the algorithm is a rapid, accurate and reliable. Compared with the current fitting compression method, it not only has a strong compression and anti-noise ability but also improve the operation speed up to hundreds of thousands of times.