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

fYear

2012

fDate

9-11 Aug. 2012

Firstpage

114

Lastpage

117

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Computing and Communications (ICACC), 2012 International Conference on

Conference_Location

Cochin, Kerala

Print_ISBN

978-1-4673-1911-9

Type

conf

DOI

10.1109/ICACC.2012.25

Filename

6305567