Title :
Image and video super-resolution via accurate motion estimation
Author :
Fedak, Volodymyr ; Veres, Zenoviy ; Nakonechny, Adrian
Abstract :
Super-resolution has relying on accurate motion estimation between the frames for a successful process. In this paper we propose to calculate quality coefficients for motion vectors and use calculated coefficients for accurate motion estimation process. All requirements for super resolution process: image registrations and fusion solutions are determined. Basic image spatial resolution algorithms were investigated. New enhanced super resolution algorithm was proposed. The proposed algorithm is designed to realize resolution upconversion on video sequences, trying to reduce the gap between high-resolution displays and low quality video content.
Keywords :
image fusion; image registration; image resolution; image sequences; motion estimation; image fusion; image registration; image spatial resolution algorithm; image super-resolution; motion estimation; motion vector; quality coefficient; video sequence; video super-resolution; Algorithm design and analysis; Computational efficiency; Computer displays; Cost function; Image registration; Image resolution; Motion estimation; Pixel; Spatial resolution; Video sequences; Non-Local Means; motion estimation; motion vectors; post processing algorithms; super-resolution;
Conference_Titel :
Perspective Technologies and Methods in MEMS Design (MEMSTECH), 2010 Proceedings of VIth International Conference on
Conference_Location :
Lviv
Print_ISBN :
978-1-4244-7325-0
Electronic_ISBN :
978-966-2191-11-0
