Notice of Violation of IEEE Publication PrinciplesLow power VLSI implementation of data compression for multimedia devices using CDF m/n DWT on to resource constrained dynamically reconfigurable memories

摘要

Notice of Violation of IEEE Publication Principles"Low Power VLSI Implementation of Data Compression for Multimedia Devices Using CDF m/n DWT on to Resource Constrained Dynamically Reconfigurable Memories"by H. Chetan and G. Indumathiin the Proceedings of the 3rd International Conference on Computing for Sustainable Global Development (INDIACom), October 2016After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles.This paper has copied figures and text from the paper cited below. The original content was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission."FPGA Implementation of Fingerprint Biometric System using Optimized 5/3 Architecture and Modified CORDIC-FFT"by Satish Bhairannawar, Sayantam Sarkar, Y. R. Anand, K B Raja, and K. Venugopalin Computers & Electrical Engineering, Elsevier Submitted September 2014Data transmission is one of the important communication method used these days. The data's like image and video were also transmitted in the form of signal. Because of limited channel bandwidth the data has to be compressed but due to which the quality of the image was reduced. Wavelet transform has been used widely in the signal processing. DWT has been developed as a compression technique which provides better compression ratio. Here a CDF 5/3 DWT compression technique is used for the compression of video which has better compression ratio without the loss of quality of the video. The video has been rDeconstructed using the IDWT technique. The PSNR and MSE are also measured here. The video compression is implemented using MATLAB Simulink and simulation results are seen using Cadence/Xilinx.