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Please use this identifier to cite or link to this item: http://purl.org/purl/4161

Title: An Improved Color Video Super-Resolution Using Kernel Regression and Fuzzy Enhancement
Authors: Santhosh Kumar, G
Manna, Elizabeth Philip
Keywords: Super-resolution
kernel regression
fuzzy image enhancement
Issue Date: 2012
Publisher: IEEE
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
Description: 2012 International Conference on Advances in Computing and Communications
URI: http://dyuthi.cusat.ac.in/purl/4161
Appears in Collections:Dr.Santhosh Kumar G

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