Title: Comparative analysis of video compression mechanisms using 3D-DWT based video encoding along with EZW

Authors: V.R. Satpute; K.D. Kulat; A.G. Keskar

Addresses: Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur South Ambazari Road, Nagpur, 440010, India ' Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur South Ambazari Road, Nagpur, 440010, India ' Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur South Ambazari Road, Nagpur, 440010, India

Abstract: In this paper, two compression mechanisms based on 3D-discrete wavelet transform (DWT) and 2D embedded zero wavelet (EZW) are proposed and compared depending on the mathematical parameters, i.e., peak signal-to-noise ratio (PSNR) and compression ratio (CR). In this paper, we are using Haar wavelet decomposition for compression, as it has shown improved compression in recent years when used along with the techniques like EZW, SPIHT, etc. Haar wavelet is chosen because of its ease implementation and has inherent properties and EZW is chosen for compression. We apply EZW with frame-by-frame basis on the encoded video as EZW is meant for 2D-data only. Here we are adding the extra blocks for video encoding and decoding before and after the existing compression technique, i.e., EZW. So, these mechanisms are very easy to implement by just adding the extra blocks of encoding and decoding.

Keywords: 3D-discrete wavelet transform; 3D-DWT; embedded zero wavelet; EZW; Haar wavelet; video encoding; video compression; computational vision.

DOI: 10.1504/IJCVR.2017.084982

International Journal of Computational Vision and Robotics, 2017 Vol.7 No.4, pp.411 - 425

Received: 11 Jul 2014
Accepted: 13 Dec 2014
Published online: 10 Jul 2017 *

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