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.
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