Infrared Image Processing System Based on AI and Convolutional Neural Network

Abstract

This article studies an infrared image processing method and infrared system, which includes: obtaining the infrared signal collected by the infrared optical lens, and converting the infrared signal into the original infrared image; Preprocess the original infrared image to obtain the preprocessed infrared image; Using an image enhancement model to enhance the pre processed infrared image, the enhanced infrared image is obtained; Among them, the image enhancement model uses pre processed sample infrared images and enhanced sample infrared images to train the first convolutional neural network. The technical solution studied in this article uses an image enhancement model trained on convolutional neural networks to process infrared images, in order to reduce the complexity of image processing and improve image processing efficiency and quality. Moreover, the image enhancement model has extremely high upgrade flexibility and is relatively simple to implement. Therefore, it can efficiently and conveniently achieve flexible upgrades in processing.