Comparative analysis of video compression mechanisms using 3D-DWT with EZW

In this paper, two compression mechanisms based on 3D-Discrete Wavelet Transform (DWT) and 2D Embedded Zero Wavelet (EZW) are compared depending on the mathematical parameters 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 with the techniques like EZW, SPIHT etc. Haar wavelet is chosen because of its ease of implementation and inherent properties and EZW is chosen for compression. We apply EZW frame-by-frame on the encoded video as it 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.