Abstract
In order to improve the spatial resolution of videos, a blind video super-resolution reconstruction method is proposed. Utilizing the redundancy information between the adjacent frames in low resolution video and the prior information of imaging system, a high resolution video can be reconstructed. Using Wiener filter image restoration method, under the condition of different parameters of point spread function (PSF), multiple error-parameter curves are generated. Through analyzing the relationship between these curves and by setting some thresholds, the PSF of the imaging system is estimated automatically. Experiments are performed on simulated images and color video and practical video respectively. The experimental results demonstrate the effectiveness of our approach and also show the great importance of PSF estimation in video super-resolution reconstruction. This error-parameter analysis method may also be well extensively used to estimate other types of PSF, only if the PSF can be denoted by parameters.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
