Image stitching based on deep learning

Abstract

An efficient unsupervised deep learning image stitching algorithm using YOLOv5. The method uses a feature pyramid structure for homography and non-local blocks combined with reconstruction for image fusion. Simulation experiments show that the PSNR and SSIM of the method are significantly improved. The artifacts are significantly reduced.