Real double-camera reference super-resolution method based on Kernel-Free matching

The invention discloses a real double-shooting reference super-resolution method based on Kernel-Free matching, and relates to the technical field of image signal processing. The invention discloses a real double-shooting reference super-resolution method based on Kernel-Free matching. The real double-shooting reference super-resolution method comprises the following steps: S1, establishing a real reference super-resolution data set; s2, a real double-camera reference super-resolution model based on Kernel-Free matching is designed; s3, training the model by using a deep learning Pytorch framework; s4, inputting a wide-angle image and long-focus image data pair into the model, and outputting a result after super-division of the wide-angle image; according to the method provided by the invention, the performance of the real double-camera reference super-resolution is improved to a new height by utilizing the provided Kernel-Free matching method. 本发明公开了基于Kernel-Free匹配的真实双摄参考超分方法，涉及图像信号处理技术领域。基于Kernel-Free匹配的真实双