Title :
An iterative weighted regularized algorithm for improving the resolution of video sequences
Author :
Hong, Min-Cheol ; Kang, Moon Gi ; Katsaggelos, Aggelos K.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Abstract :
This paper introduces an iterative regularized approach to increase the resolution of a video sequence. A multiple input smoothing convex functional is defined and used to obtain a globally optimal high resolution video sequence. A mathematical model of multiple inputs is described by using the point spread function between the original and bilinearly interpolated images in the spatial domain, and motion estimation between frames in the temporal domain. An iterative algorithm is utilized for obtaining the solution. The regularization parameter is updated at each iteration step from the partially restored video sequence. Experimental results demonstrate the capability of the proposed approach
Keywords :
functional equations; image enhancement; image resolution; image sequences; interpolation; iterative methods; motion estimation; optical transfer function; smoothing methods; video signal processing; bilinearly interpolated image; iterative weighted regularized algorithm; motion estimation; multiple input smoothing convex functional; multiple inputs; point spread function; resolution; spatial domain; temporal domain; video sequences; HDTV; Image converters; Image resolution; Image restoration; Interpolation; Iterative algorithms; Iterative methods; Mathematical model; Motion estimation; Smoothing methods; Spatial resolution; Video sequences; Weather forecasting;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.638811
