Video super-resolution reestablishing method and system based on sparse representation and vector continued fraction interpolation under polar coordinates

Abstract

The invention relates to a video super-resolution reestablishing method and system based on sparse representation and vector continued fraction interpolation under polar coordinates. Compared with the prior art, the defects that a super-resolution reestablishing technology cannot be suitable for all videos and a reestablished video image can be fuzzy are overcome. The video super-resolution reestablishing method comprises the following steps that initialized video feature analyzing is carried out, an image is amplified through the vector continued fraction interpolation, the image is reestablished through a sparse representation exquisite template, a super-resolution image is established through the amplified image and the assessed image, whether reading of a video is finished or not is detected, if yes, video super-resolution reestablishing is finished, and if not, the image continues to be amplified through the vector continued fraction interpolation. By means of the video super-resolution reestablishing method and system, the quality and efficiency of video image reestablishing are improved, and the application degree of the super-resolution reestablishing technology in different videos is improved.

Description

technical field [0001] The invention relates to the technical field of video image processing, in particular to a video super-resolution reconstruction method and system based on sparse expression and vector continued fraction interpolation under polar coordinates. Background technique [0002] Image and video super-resolution reconstruction is an important research direction in the field of computer vision, and it plays a vital role in practical applications, such as medical diagnosis, high-definition television, remote sensing image analysis, license plate recognition, etc. effect. At this stage, many researchers have proposed different super-resolution reconstruction methods, and have achieved certain success in different application scenarios. However, the implementation of these super-resolution reconstruction methods all need to obtain prior information from some high-definition images, which is not realistic, and the reconstructed video will more or less have various...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the defect that the super-resolution reconstruction technology in the prior art cannot be applied to all videos and the reconstructed video image will be distorted, and to provide a video based on sparse expression and vector continued fraction interpolation under polar coordinates Super-resolution reconstruction method and its system to solve the above problems

Images