A Relative Method of Video Coding using Different Wavelets with SPIHT
Nithin S. S1, L. Padma Suresh2
1Mr. Nithin S. S, Research Scholar, Department of Electronics and Communication, Noorul Islam University, (Tamil Nadu), India.
2Dr. L. Padma Suresh, Professor and Principal, Department of Computer Science, Baselios Mathews II College of Engineering, Sasthamkotta (Kerala), India.
Manuscript received on 20 September 2019 | Revised Manuscript received on 06 October 2019 | Manuscript Published on 11 October 2019 | PP: 539-543 | Volume-8 Issue-2S10 September 2019 | Retrieval Number: B10950982S1019/2019©BEIESP | DOI: 10.35940/ijrte.B1095.0982S1019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Lossy or lossless data compression is needed to Bring down the storage size and greater transmission rate. Wavelet transform is one of the ideal methods used for video compression. Different types of wavelet transforms are now available. In this paper, video is compressed by different wavelets and modified version of SPIHT. Totally seven types of wavelets are used here to compress the video, MSPIHT is used as encoding technique. They are (i) Video coding using duabechies wavelet and MSPIHT (VDM) (ii) Video coding using haar wavelet and MSPIHT (VHM) (iii) video coding using bi orthogonal wavelet and MSPIHT (VBM) (iv) video coding using symlet wavelet and MSPIHT (VSM) (v) video coding using coiflet wavelet and MSPIHT (VCM) (vi) video coding using demeyer wavelet and MSPIHT (VDMM) and (vii) video coding using Mexican hat wavelet and MSPIHT (VMHM). Then we calculate the PSNR and compression ratio for knowing the performance of the system.
Keywords: (EWT) Empirical wavelet transforms, VHM, VDM, VBM, VSM, VCM, VDMM, VMHM and PSNR.
Scope of the Article: Encryption Methods and Tools