Multi-Scale Local Contrast Fusion Based on LOG in Infrared Small Target Detection

The infrared detector is adopted to track and recognize targets, including missiles and airplanes. These targets are usually far from the detector. The pixel size is less than $9\times 9$ when the image has $256\times 256$ pixels. They are regarded as the IR small targets. Because of the complex space environment, the high-brightness clouds and noise have a bad effect on the real small target detection. We need to focus on the tracking and detection of a small target in IR images in the intricate background. This article utilizes the Laplacian of Gaussian (LOG) filter and an improved local contrast method to reduce the impact of the high-light corner and strip. Compared with traditional space filtering, frequency domain technology, or the single local contrast method, we can greatly improve the signal clutter ratio gain (SCRG) and background suppression factor (BSF) in the real complex background in IR image processing. Under the same false alarm rate, our method achieves a better detection rate.