Performance of Image compression using Back-Propagation Neural Network

Authors

  • Shweta Mittal M.Tech Scholar,Department of Electronics and Communication, Satya College of Engineering and Technology, Aurangabad, Haryana
  • Mr. Kapil Mangla Assistant Professor Department of Electronics and Communication, Satya College of Engineering and Technology, Aurangabad, Haryana

Keywords:

Image compression, Neural networks, Multi layered network, Training process, Test vector, Image coding

Abstract

The growth of data communication multimedia-based web applications has not only undergone the need for
more efficient ways to data storage and digital communication technology. Image compression presented by JPEG,
H.26x and MPEG standards uses new technology like algorithms of neural networks are developed to seek the future of
image coding. Successful applications of neural network algorithms have now well established and other involvement of
neural network in technology is appreciable. Most popular way to show the power of neural network for image
compression follows the selection of multi layered network, training process and test vector.

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Published

2016-06-25

How to Cite

Shweta Mittal, & Mr. Kapil Mangla. (2016). Performance of Image compression using Back-Propagation Neural Network. International Journal of Advance Engineering and Research Development (IJAERD), 3(6), 37–42. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/1461

Issue

Vol. 3 No. 6 (2016): Volume 3 Issue 6 June-2016

Section

Articles