To Improvement in Image Compression ratio using Artificial Neural Network Technique

Authors

  • Ahmad S Bhagwant University, Ajmer

Keywords:

Neural Network, Data Compression, Image Compression, ANN

Abstract

Compression of data in any form is a large and active field as well as a big business. This paper presents a neural network based technique that may be applied to data compression. This paper breaks down large images into smaller windows and eliminates redundant information. Finally, the technique uses a neural network trained by direct solution methods. Conventional techniques such as Huffman coding and the Shannon Fano method, LZ Method, Run Length Method, LZ-77 are discussed as well as more recent methods for the compression of data presents a neural network based technique that may be applied to data compression. The proposed technique and images. Intelligent methods for data compression are reviewed including the use of Back propagation and Kohonen neural networks. The proposed technique has been implemented in C on the SP2 and tested on digital mammograms and other images. The results obtained are presented in this paper.

References

I1] Jiang, J. A Neural Network Design for Image Compression and Indexing. International Conference on Artificial Intelligent Expert Systems and Neural Networks, Hawaii, USA, 1996, 296-299.

Joutsensalo, J. Non Linear Data Compression and Representation by Combining Self Organising Map and Subspace Rule, Vol-2 IEEE International Conference on Neural Networks, 1994, 637-642.

Blumenstein, M The Recognition of Printed and Handwritten Postal Address using Artificial Neural Networks. Dissertation, Griffith University, Australia, 1996

Nelson M, The Data Compression Book M & T Publishing Inc. 1991

Gelene R., and Sungar, M. Random Network Learning and Image Compression using Artificial Neural Networks, Vol-6 IEEE 1994, 3996-4001.

Sicuranza, G.L, Ramponi G, and Marsi S. Artificial Neural Network for image compression, Electronic letters, 1990, 477-479.

Ash, T. (1989) Dynamic Node Creation in Backpropagation Networks, 1989, 365-375.

Kenue S. K. Modified Back-Propagation Neural Network with Applications to Image Compression, SPIE Vol.1709, Applications of Artificial Neural Networks, 1992, 394-401.

Carbonara, M., Fowler J., and Ahalt, S, Compression of Digital Video Data using Artificial Neural Network Differential Vector Quantization, SPIE Vol. 1709, Applications of Artificial Neural Networks, 1992, 422-433.

Min, K., and Min, H. Neural Network Based Image Compression using AMT DAP 610, SPIE Vol. 1709, Application of Artificial Neural Networks, 1992,386-393.

Panchanathan, S., Yeap, T., and Pilache, B. A Neural Network for Image Compression, SPIE Vol. 1709, Application of Artificial Neural Networks, 1992 376-385.

Downloads

Published

2024-02-26

How to Cite

Ahmad, S. (2024). To Improvement in Image Compression ratio using Artificial Neural Network Technique. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(01). Retrieved from https://ijact.in/index.php/j/article/view/91

Issue

Section

Original Research Article

Similar Articles

<< < 21 22 23 24 25 26 27 28 29 30 > >> 

You may also start an advanced similarity search for this article.