Research Article | OPEN ACCESS
An Efficient Multi-resolution Video Compression Approach with Inpainting Algorithm
1R. Gomathi and 2A. Vincent Antony Kumar
1Department of Electronics and Communication Engineering, Anna University-Dindigul Campus
2Department of Information Technology, PSNA College of Engineering and Technology,
Dindigul 624 622, Tamilnadu, India
Research Journal of Applied Sciences, Engineering and Technology 2014 20:4313-4318
Received: January 01, 2014 | Accepted: January 05, 2014 | Published: May 20, 2014
Abstract
This study carves out a way to video coding that is motivated by the recent advancement in video inpainting. In the proposed video coding approach, the regions are mainly divided into two types namely, Local Motion Region and Global Motion Region. The regions are removed by using block based motion estimation in Local Motion Regions and the method of texture synthesis is used for obtaining the removed regions. Shearlet p-Laplacian based Partial Differential Equation (PDE) inpainting is carried out to recover the removed regions in Global Motion Regions. In both regions, Exemplar Selection (Region Removal) Process is based on the edges extracted from the input region. Wavelets like curvelets and contourlets are not very efficient when dealing with edges in multidimensional signals. In this study, a Discrete Shearlet Transform (DST) is used for edge detection. Using DST helps to improve the overall compression performance together with the Shearlet p-Laplacian based inpainting and texture synthesis Schemes. The Scheme has been integrated into H.264/AVC and achieves better bit rate saving.
Keywords:
Discrete shearlet transform, inpainting, texture synthesis, video coding,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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