Image compression techniques are essential to reduce computational storage or transmittal costs of digital images and multimedia files without degrading the quality of the image/file to an unacceptable level. In this paper, adaptive update lifting scheme with Interactive artificial bee colony algorithm is presented for image compression. Approximation and detail coefficients are extracted from the signal by filtering it in wavelet transform. To increase frequency resolution both approximation and detail coefficients are decomposed further. Artificial bee colony algorithm by local search determines different update coefficients to improve the quality of compressed image by optimally choosing the best update coefficient. Using Artificial Bee Colony algorithm, a considerable size best directional window is determined. Interactive Artificial Bee Colony algorithm (IABC) tool is used to find out the directional window size to give the finest compressed image in terms of both compression ratio and PSNR. The method is compared with existing methods in terms of PSNR.

1. Subramanya A. "Image Compression Technique," potentials IEEE, Vol. 20, issue 1,pp19-23, Feb-March 2001.
2. Rafael C. Gonzalez, Richard Eugene; " Digital image processing", Edition 3, 2008,page 466.
3. W. Sweldens, "The lifting scheme: A new philosophy in biorthogonal wavelet constructions", in Proc. SPIE, vol. 2569,1995,pp. 68-79.
4. W. Sweldens, "The lifting scheme: A construction of second-generation wavelets", SIAM J. Math. Anal. , vol. 29, no. 2, pp. 511-546,1997.
5. A. R. Calderbank, I Daubechies, W. Sweldens, and B-L Yeo, "Wavelet transforms that map integers to integers", J. Appl. Comput. Harmon, Anal. , vol. 5, no. 3, 1998.
6. M. Adams and F. Kossentini, "Reversible Integer-to-Integer Wavelet Transforms for Image Compression: Performance Evaluation and Analysis", IEEE Trans. On Image Processing, vol. 9, no. 6, pp. 1010-1024, Jun 2000.
7. R. L. Claypoole, G. M. Davies, W. Sweldens and R. G. Baraniuk, "Non-linear wavelet transform for image coding via lifting", IEEE Trans. Image Processing, Vol. 12,pp. 1449-1459, Dec. 2003.
8. N. V Boulgouris, D. Tzovaras, and M. G. Strintzis, "Lossless image compression based on optimal prediction, adaptive lifting, and conditional arithmetic coding", IEEE, Trans. Image Process. , vol. 10, no. 1,pp. 1-14, Jan. 2001.
9. Shu-Chuan Chu, Hsiang-Cheh Huang, John F. Roddick, and Jeng-Shyang Pan - Overview of Algorithms for Swarm Intelligence, International Conference on Computer and Computational Intelligence(ICCCI 2011) , Part I, LNCS 6922, pp. 28 41, 2011. © Springer-Verlag Berlin Heidelberg 2011.
10. Nishat Kanvel, Dr. S. Letitia, Dr. Elwin Chandra Monie, " Adaptive Lifting Based Image Compression Scheme with Particle Swarm Optimization Technique", International Journal of Engineering Science and Technology, vol. 2(9),2010,4886-4895.
11. M. Mohamed Ismail, Dr. K. Baskaran, "Adaptive Lifting Based Image Compression Scheme Using Artificial Bee Colony Algorithm", International Journal of Electronics Communication and Computer Engineering, Vol. 4, Issue 1, ISSN(print):2278-4209, 2013.
12. M. Mohamed Ismail, Dr. K. Baskaran, " Hybrid Lifting Based Image Compression Scheme Using Particle Swarm Optimization Algorithm and Artificial Bee Colony Algorithm", International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Issue 1, January 2014.
13. R. Ramanathan, K. Kalaiarasi, D. Prabha, "Improved wavelet based compression with adaptive lifting scheme using Artificial Bee Colony algorithm", International Journal of Advanced Research in Computer Engineering & Technology, Vol 2 , Issue 4, April 2013.
14. Pei-Wei Tsai, Jeng-Shyang Pan, Bin-Yih Liao, and Shu-Chuan Chu," Enhanced Artificial Bee Colony Optimization", International Journal of Innovative Computing, Information and control, vol. 5, no. 12, pp. 1-12, Dec. 2009.

Lifting Scheme Adaptive Lifting Scheme Wavelet Transform Artificial Bee Colony Algorithm Particle Swarm Optimization Image Compression.