Effect of Compression Level on the Performance of Image Transmission & Compression System under AWGN Channel
Garima Govil1, Amardeep Dixit2
1Garima Govil, M.Tech., Department of Electronic & Communication, Jaipur Institute of Technology Group of Institutions, Jaipur (Rajasthan), India.
2Amarjeet Dixit, Assistant Professor, Department of Electronic & Communication, Jaipur Institute of Technology Group of Institutions, Jaipur (Rajasthan), India.
Manuscript received on 13 June 2016 | Revised Manuscript received on 20 June 2016 | Manuscript Published on 30 June 2016 | PP: 158-162 | Volume-5 Issue-5, June 2016 | Retrieval Number: E4640065516/16©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Data compression is “process of reducing the amount of data required to represent a given quantity of information”. Therefore, data and information are not having the same meaning as is often mentioned. Instead, Data is to convey information in their vehicle. Because the same information can be carried across the channel by varying the amount of data, This unnecessary data, which do not have actual information, is commonly referred to as redundant. Data redundancy is the core concept of image compression. Image compression encodes the actual data in few bits. Here we are analyzing the effect of compression level on different performance assets like PSNR (Peak Signal to noise ratio), MSE (Mean Squared Error), BER (Bit Error Rate) in the image transmission and compression system under AWGN Channel. We are using DCT (Discrete Cosine Transform) coding for the image compression. DCT is similar to DFT (Discrete Fourier Transform) rather deals only with the real values, So the computation complexity of the system decreases.
Keywords: AWGN, BER, DCT, PSNR, MSE, Transform Coding, QPSK.
Scope of the Article: Image Security