Title :
An Improved Color Video Super-Resolution Using Kernel Regression and Fuzzy Enhancement
Author :
Philip, Manna Elizabeth ; Kumar, G. Santhosh
Author_Institution :
Dept. of Comput. Sci. & Technol., Cochin Univ. of Sci. & Technol., Cochin, India
Abstract :
An improved color video super-resolution technique using kernel regression and fuzzy enhancement is presented in this paper. A high resolution frame is computed from a set of low resolution video frames by kernel regression using an adaptive Gaussian kernel. A fuzzy smoothing filter is proposed to enhance the regression output. The proposed technique is a low cost software solution to resolution enhancement of color video in multimedia applications. The performance of the proposed technique is evaluated using several color videos and it is found to be better than other techniques in producing high quality high resolution color videos.
Keywords :
Gaussian processes; fuzzy set theory; image colour analysis; image enhancement; image resolution; multimedia computing; regression analysis; smoothing methods; video signal processing; adaptive Gaussian kernel; fuzzy enhancement; fuzzy smoothing filter; high quality color videos; high resolution color videos; high resolution frame; improved color video super-resolution technique; kernel regression; low resolution video frames; multimedia applications; regression output enhancement; Image color analysis; Image edge detection; Image reconstruction; Image resolution; Kernel; PSNR; Smoothing methods; Super-resolution; fuzzy image enhancement; kernel regression;
Conference_Titel :
Advances in Computing and Communications (ICACC), 2012 International Conference on
Conference_Location :
Cochin, Kerala
Print_ISBN :
978-1-4673-1911-9
DOI :
10.1109/ICACC.2012.25
