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Motion-Compensated Frame Interpolation on Contrast Enhanced Video
| 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 |
| dd691eb0-cc83-4bfe-b03d-db4d37e9cca4 |
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.
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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