Compression of 3D Video Using Huffman Coding

Authors(2) :-S. Monica, R. Prabha

With the recent development of 3D display technologies, there is an increasing demand for realistic 3D video. However, efficient transmission and storage of depth data still presents a challenging task to the research community in these applications. Consequently a new method, called 3D Image Warping Based Depth Video Compression (IW-DVC) is proposed for fast and efficient compression of 3D video by using Huffman coding. The IW-DVC method is to exploit the special properties of the depth data to achieve a high compression ratio which preserves the quality of the captured images. This method combines the egomotion estimation and 3D image warping techniques and includes a lossless coding scheme which is capable of adapting to depth data with a high dynamic range. IWDVC operates in high-speed, suitable for real-time applications, and is able to attain an enhanced motion compensation accuracy compared with the conventional approaches. Also, it removes the existing redundant information between the depth frames to further increase compression efficiency without sacrificing image quality.

Authors and Affiliations

S. Monica
Department of Electrical Communication Engineering, SNS College of Technology, Coimbatore, Tamil Nadu, India
R. Prabha
Department of Electrical Communication Engineering, SNS College of Technology, Coimbatore, Tamil Nadu, India

Depth map, motion compensation, Huffman codingDepth map, motion compensation, Huffman coding

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2016
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 572-575
Manuscript Number : IJSRSET1622159
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

S. Monica, R. Prabha, " Compression of 3D Video Using Huffman Coding, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.572-575, March-April-2016.
Journal URL : http://ijsrset.com/IJSRSET1622159

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