Image Enhancement of Maritime Infrared Targets Based on Joint Features of Grayscale and Texture

Abstract

Maritime distress accidents usually occur in severe wind and wave environments. Infrared image enhancement technology can provide high-quality images for follow-up search and rescue work and has significant research value. This paper first analyzes the features of maritime infrared target images. According to the grayscale Gaussian distribution shape and gradient texture directionality of the target area, designs a target feature description operator and extracts the target feature image as the guide image for guided filtering. Then, the difference operation is performed between the original image and the filtering result, and the target detail layer that suppresses background noise and is not distorted is obtained. Finally, the target layer and the original image are fused with appropriate weights to obtain an enhanced image that retains the characteristics of the natural environment. The experimental results show that the method can effectively improve the clarity of the image and the detectability of the target.