Performance Evaluation of Video Compression Using Different Wavelets and Tensors for Multimedia Applications
6 Pages Posted: 21 Aug 2019
Date Written: August 19, 2019
The main objective will be the exploitation of the redundancies in the image to reduce the requirement of number of bits required to represent a particular original image which should remain less significant and also should be irrelevant to human visual system. With the limited bandwidth, the compression process should enable us to store and as well as transmit the video signal in the effective manner. JPEG2000, MPEG, AVC, H.264, H.265, lossy or lossless are the some of the algorithms available in the market which are based on these compression standards. Discrete Wavelet Transform(DWT) has remained as popular algorithm for video compression. We have discussed different wavelets such as Symlet, Haar, Biorthogonal, Daubechies in this paper, along with tensors decomposition were used to compare the performance analysis of the video compression for multimedia applications. Four different wavelet based compression methods like SPIHT-3D, STW & EZW, SPIHT-3D and SPIHT were used to verify the base layer with 2 enhancement layers and are considered to be the best among all. We used different input video formats like WMV, AVI and MPEG to compared the wavelets and used the parameters like compression ratio, Retained energy and Peak Signal to Noise ratio to observe the output in MATLAB.
Keywords: Discrete Wavelet Transform, Biorthogonal, Haar, Symlet, Daubechies, Tensor decompositions
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