A single shooting environment or an image obtained from a single sensor does not provide an effective and comprehensive description of the scene, so we desire to obtain different source images from different sensors. To make the acquired images more convenient for subsequent applications, image fusion technology comes into being. Currently, the mainstream image fusion techniques are mainly divided into traditional image fusion techniques and deep learning-based image fusion techniques, which we will research in this paper.
Шао Ю. (науч. рук. Васильев А.С.) COMPARISON OF TRADITIONAL AND DEEP LEARNING METHODS FOR IMAGE FUSION // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2024]. URL: https://kmu.itmo.ru/digests/article/12322