Study On De-blurring Processing Of Degraded Infrared Images Taken Under Foggy Weather

Infrared ray has strong night vision power, it can pass through some particle medium with some magnitude concentration and density, it is also very sensitive to differences in temperature. Because of the strong power of infrared spectrum it has comprehensive applications in military affairs, national defense, remote sensing inspection and commonality sanitation prevention etc., but infrared images captured under degraded weather conditions have many degraded problems such as blurring, noise, low contrast and details of texture lost etc., these degraded problems cumber greatly the processing, identification and analysis of infrared objects detection. In the paper, we mainly study the degraded infrared images captured under foggy weather condition.This paper is organized as follows.Chapter 1 introduces the background and relevant work in the infrared image de-blurring field, analyses the insufficiency of current related work, and briefly describes the main research work of this paper.Chapter 2 introduces the degraded infrared image de-blurring algorithm based on adaptive de-blurring filter. We first present the structure of the adaptive de-blurring filter. According to an even power smooth window function which is based on Fourier transform, we construct the de-blurring filter. In order to increase the accuracy and the efficiency of the algorithm, we adaptively estimate the noise and signal energy of the degraded infrared image to construct the de-blurring filter. The algorithm can de-blur the image while suppressing the noise in the output image.Chapter 3 proposes the degraded infrared image de-blurring algorithm based on infrared atmosphere transmission model. We first recommend the infrared radiation atmosphere transmission principle and model. Then we construct the optimized infrared radiation atmosphere attenuation model and path radiation model. According to two degraded infrared images captured in the same scene but at different time under foggy weather condition, we achieve the atmosphere depth difference of the two degraded infrared images. Then we can restore the contrast of the degraded infrared image. The processing result is better than using Modtran software.The summary and conclusion of this paper are given at last, as well as the discussion of the further research work.