Performance of Image compression using Back-Propagation Neural Network
| Author(s) | : | Shweta Mittal, Mr. Kapil Mangla |
| Institution | : | M.Tech Scholar,Department of Electronics and Communication, Satya College of Engineering and Technology, Aurangabad, Haryana |
| Published In | : | Vol. 3, Issue 6 — June 2016 |
| Page No. | : | 37-42 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The growth of data communication multimedia-based web applications has not only undergone the need formore 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 ofimage coding. Successful applications of neural network algorithms have now well established and other involvement ofneural network in technology is appreciable. Most popular way to show the power of neural network for imagecompression follows the selection of multi layered network, training process and test vector.
Shweta Mittal, Mr. Kapil Mangla, “Performance of Image compression using Back-Propagation Neural Network”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 6, pp. 37-42, June 2016.
