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Reseach Article

Motion-Compensated Frame Interpolation on Contrast Enhanced Video

Published on February 2015 by Jean P Johny, Arunkumar M N, Sira Salim, Roopa Gokul
Advanced Computing and Communication Techniques for High Performance Applications
Foundation of Computer Science USA
ICACCTHPA2014 - Number 5
February 2015
Authors: Jean P Johny, Arunkumar M N, Sira Salim, Roopa Gokul
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Jean P Johny, Arunkumar M N, Sira Salim, Roopa Gokul . Motion-Compensated Frame Interpolation on Contrast Enhanced Video. Advanced Computing and Communication Techniques for High Performance Applications. ICACCTHPA2014, 5 (February 2015), 34-38.

@article{
author = { Jean P Johny, Arunkumar M N, Sira Salim, Roopa Gokul },
title = { Motion-Compensated Frame Interpolation on Contrast Enhanced Video },
journal = { Advanced Computing and Communication Techniques for High Performance Applications },
issue_date = { February 2015 },
volume = { ICACCTHPA2014 },
number = { 5 },
month = { February },
year = { 2015 },
issn = 0975-8887,
pages = { 34-38 },
numpages = 5,
url = { /proceedings/icaccthpa2014/number5/19498-6063/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Advanced Computing and Communication Techniques for High Performance Applications
%A Jean P Johny
%A Arunkumar M N
%A Sira Salim
%A Roopa Gokul
%T Motion-Compensated Frame Interpolation on Contrast Enhanced Video
%J Advanced Computing and Communication Techniques for High Performance Applications
%@ 0975-8887
%V ICACCTHPA2014
%N 5
%P 34-38
%D 2015
%I International Journal of Computer Applications
Abstract

Contrast enhancement plays an important role in the improvement of visual quality for computer vision, pattern recognition, and the processing of digital images and videos. Efficient contrast enhancement using adaptive Gamma correction with weighting distribution is an efficient method to modify histograms and enhance contrast in videos. A major problem faced by this approach is the discontinuity in the resulting enhanced video due to some missing frames. To cope up with this problem we merge the concept of interpolation with contrast enhancement. Here we use a motion-compensated frame interpolation (MCFI) algorithm to increase video temporal resolutions based on multihypothesis motion estimation and texture optimization. Thus the proposed method improves the brightness of dim videos via the gamma correction and probability distribution of luminance and MCFI algorithm preserves the continuity of the enhanced video.

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Index Terms

Computer Science
Information Sciences

Keywords

Gamma correction Contrast enhancement Histogram equalization Motion compensated frame interpolation.