Image Compression Techniques Using Artificial Neural Network

Authors

  • Yogesh Chandra M.TECH Scholar, Dr. C.V.Raman Institute of Science & Technology, Bilaspur, Chhattisgarh, India
  • Shikha Mishra Faculty of Electronics & Communication, Dr. C.V. Raman Institute of Science & Technology, Bilaspur, Chhattisgarh, India

DOI:

https://doi.org/10.53555/nncse.v2i3.498

Keywords:

Image Compression, Techniques, Artificial, Neural Network

Abstract

This paper contain neural network bases on image compression techniques .The image compression is the application of the data compression on digital images. The main role of the image compression technique which is used to reduce the number of pixels and reduce the broadcast and transmission cost in efficient form and an artificial neural network is a computational structure which is stimulated by observed process in neural network of biological neuron in the brain. Image compression based on back propagation neural network with Liebenberg - marquardt algorithm and it is achieved by image is divided into number of blocks and select the one neural network for each block according to its complexity value. The Training algorithm and back propagation neural network is used to increase the performance and to decrease the convergence time and provide high compression ratio and low distortion. The neural network training process best for image compression and applications.  

References

R. P. Lippmann, “An introduction to computing with neural network”, IEEE ASSP mag., pp. 36-54, 1987.

M.M. Polycarpou, P. A. Ioannou, “Learning and Convergence Analysis of Neural Type Structured Networks”, IEEE Transactions on Neural Network, Vol 2, Jan 1992, pp.39-50.

Rao, P.V. Madhusudana, S.Nachiketh,S.S.Keerthi, K. “image compression using artificial neural network”.EEE, ICMLC 2010, PP: 121-124.

Dutta, D.P.; Choudhury, S.D.; Hussain, M.A.; Majumder, S.; ”Digital image compression using neural network” .IEEE, international Conference on Advances in Computing, Control, Telecommunication Technologies, 2009. ACT '09.

N.M.Rahim, T.Yahagi, “Image Compression by new sub-image bloc Classification techniques using Neural. Networks”, IEICE Trans. On Fundamentals, Vol. E83-A, No.10, pp 2040-2043, 2000.

M. S. Rahim, "Image compression by new sub- image block Classification techniques using eural network”. IEICE ,E83-A (10), (2000), pp. 2040- 2043.

D. Anthony,et.al. “A study of data compression using neural networks and principal component analysis, “in Colloquium on Biomedical Applications of Digital Signal Processing,1989, pp. 1–5.

G. L. Sicuranzi, G. Ramponi, and S. Marsi, “Artificial neural network for image compression,”Electronics Letters, vol. 26, no. 7, pp. 477– 479, March 29 1990.

M.Egmont-Petersen, D.de.Ridder, Handels, “Image Processing with Neural Networks – a review”,Pattern Recognition 35(2002) 2279-2301 [11] M. H. Hassoun, Fundamentals of Artificial

NeuralNetworks, MIT Press, Cambridge, MA, 1995.

Wasserman, P.D., 1989. Neural Computing: Theory and Practice. Coriolis Group, New York, USA,ISBN: 10: 0442207433, pp: 230.

Durai S.A. And E.A. Saro, 2006. Image compression with back-propagation neural network usingcumulative distribution function. World Acad. Sci. Eng. Technol., 17: 60-64.

Xianghong, T. And L. Yang, 2008. An image compressing algorithm based on classified blockswith BPNN. Proceeding of ICCSSE, Dec. 12-14, IEEE Computer Society, and Wuhan, Hubei pp: 819-822.

Veisi, H. And M. Jamzad, 2009. A complexity-based approach in image compression using neuralnetworks. Int. J. Sign. Process. 5: 82-92.

B. M. Wilamowski, Y. Chen, A. Malinowski, “Efficient algorithm for training neural networks with one hidden layer,” In Proc. IJCNN, vol.3, pp.1725-728, 1999.

SubramanyaA,”Image compression Technique” s IEEE, Vol. 20, Issue 1, pp 19-23, Feb-March2001.

E. Watanabe and K. Mori, “Lossy Image Compression Using a Modular Structured Neural Network,” Proceed- ings of IEEE Signal Processing Society Workshop, Wash- ington DC, 2001, pp. 403-412.

S .S. Panda1, M.S.R.S Prasad2, MNM Prasad3, Ch. SKVR Naidu4” Image Compression Using Back Propagation Neural Network” IJESAT Vol-2,Issue - 1, 74 –78. Jan-feb-2012.

Pranob KCharles1et.al.”Artificial Neural Network based Image Compression using Levenberg-Marquardt Algorithm”IJMERVol.1, Issue.2, pp-482-489 ISSN:2249-6645.2010.

ying chu1et.at.”Image Compression Using Multilayer Neural Networks based on Fast Bacterial Swarming Algorithms”Proceedings of the 7th International Conference on Machine Learning and Cybernetics, Kunming, 12-15July2008.

Charif, H. Nait, and Salam, Fathi M.,"Neural networks-based image compression system," Proc. 43rd IEEE Midwest symp. On circuits and systems, Lansing MI, August 2000.

Luo Lincong, Feng Hao, Ding Lijun”Color Image Compression Based on Quaternion Neural Network Principal ComponentAnalysis”978-1-4244-7874-3/10 2010 IEEE.

Vilas Gaidhane1 , Vijander Singh2, Mahendra Kumar3” Image Compression using PCA and Improved Technique with MLP Neural Network” 2010 ICARTCC 978-0-7695-4201-0/10 $26.00 © 2010 IEEE.

Sonal, Dinesh Kumar” a study of various image compression techniques”

Licheng Liu, “The progress and analysis of image compression based on BPANN Microcomputer Information, Vol 23, No. 6, pp. 312-314, Feb. 2007.

G. W. Cottrell and ottrell and p. munro, “Principal Component Analysis of images via back propagation,” IN SPIE VOL. 1001 Visual communication and image processing ’88, 1988, PP. 1070–1077.

N. Sonehars, M. Kawato, S. Miyake, and K. Nakane, “Image data compression using a neural network model”, Proc. of IJCNN, Washington DC, pp. 35-41, Oct.1989.

O. AbdeI-Wahhab, and M. M. Fahmy, “Image compression using multilayer neural networks”, IEE Proc.-Visual Image Signal Processing, Vol. 144, No. 5, pp. 307-312, Oct. 1997

Xiangyang Liu, Ruyun Wang, and Wei Li, “Image compression based upon new back propagation”, Computer Applications and Software, Vol. 12, No. 5, pp. 14-15,71, May. 2004.

R. C. Gonzales, R. E. Woods, "Digital Image Processing", Second Edition, Prentice-Hall, 2002.uter Science & Engineering Survey (IJCSES) Vol.1, No.2, November 2010.

G.L. Sicuranza, G. Ramponi, S. Marsi, "Artificial neural network for image compression", Electronic letters 26, 477-479, 1990.

Downloads

Published

2015-03-31

How to Cite

Chandra, Y. ., & Mishra, S. (2015). Image Compression Techniques Using Artificial Neural Network. Journal of Advance Research in Computer Science & Engineering (ISSN 2456-3552), 2(3), 79-84. https://doi.org/10.53555/nncse.v2i3.498