Guided filtering based on infrared visual simulation

To realize the purpose of infrared image de-noising and de-blurring, infrared simulation modeling, guided filtering and blind convolution methods were studied. The principle of guided filtering in visual was analyzed, and the key idea which is guided image was proposed. In order to conquer guided image in guided filtering method, simulation modeling was used to generate guided image to solve guided image. The guided filter and blind convolution were combined to pre-process infrared image in noise and blur. The theoretical analysis and experimental results were also studied. Result shows that guided filtering is better than the classical algorithm in processing time and result (time reduced 25%, from 1.1ms fall to 0.8ms, and peak signal-to-noise ratio result improve at least 4.5%, from 36.7441dB go up to 38.5138dB). This research provides an effective reference for the infrared image pre-process algorithm.