Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Image Transmission using LDPC with Stationary Wavelet Transform

Author : Priyanka Chavan 1 Chitra M 2

Date of Publication :7th May 2016

Abstract: The two approaches to represent some data are videos and images. Image compression is a method through which we can increase the storage capacity for images and videos and increases transmission process’s performance. During transmission of data disturbances present on the transmission channel may degrade the performance, therefore we use channel coding such as turbo coding and LDPC coding which ensure transmission with minimum errors on transmission channel. Some of the application such as for mobile and space communication uses these coding techniques. In this paper we are using few transform technique. Discrete cosine transform (DCT), stationary wavelet transform (SWT) and discrete wavelet transform (DWT) with channel coding technique, low density parity check (LDPC) code has been used.

Reference :

  1. 1) Deepa T , Gresha H “Image Compression using Hybrid Wavelet Transform and their Performance comparison” IJMER

    2) Anilkumar Katharotiya,Swati patel and Mahesh “comparative analysis between DCT and DWT techniques of image compression” journal of information engineering and and aooplication. Vol. 1, No. 2, 2011.

    3) Ramkumar,G.,and M.Manikandan. “Uncompressed Digital Video Watermaking using Stationary Wavelet Transform”, IEEE International Conference on Advanced Communications Control and Computing Technologies, 2014

    4) Khalifa Othman.”Performance Evaluation of Low Density Parity Check Code”, Proceedings of World Academy of Science: Engineering and Technology /13076884, 20071201.

    5) Ken Cabeen and Peter Gent, “Image Compression and Discrete Cosine Transform,” Math 45, collage of the Redwoods.

     


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