A Novel Image Compression Scheme with Wavelet Packets Optimization Using Artificial Bee Colony Algorithm

V.Gopinath; Dr.Nishat Kanvel; Dr. T.K.Shanthi

doi:https://doi.org/10.14445/22315381/IJETT-V4I8P134

Research Article | Open Access | Download PDF

Volume 4 | Issue 8 | Year 2013 | Article Id. IJETT-V4I8P134 | DOI : https://doi.org/10.14445/22315381/IJETT-V4I8P134

A Novel Image Compression Scheme with Wavelet Packets Optimization Using Artificial Bee Colony Algorithm

V.Gopinath , Dr.Nishat Kanvel , Dr. T.K.Shanthi

Citation :

V.Gopinath , Dr.Nishat Kanvel , Dr. T.K.Shanthi, "A Novel Image Compression Scheme with Wavelet Packets Optimization Using Artificial Bee Colony Algorithm," International Journal of Engineering Trends and Technology (IJETT), vol. 4, no. 8, pp. 3448-3454, 2013. Crossref, https://doi.org/10.14445/22315381/IJETT-V4I8P134

Abstract

With advance in technology many applications came up which requires images in compressed form. Compression is necessary since storage of images required large space and money. Also transmission of such images can take longer time and more distortion. So image compression technique is required. The wavelet packet transform is one of the succes sful tools for image compression. In wavelet packet transform approximation and detail coefficients are extracted from the image by filtering. After coefficients are estimated threshold values can be calculated. In this study we have implemented Artificial Bee Colony (ABC) algorithm for estimating the values for Thresholding, Best wavelet packets with Huffman and Modify Huffman encoding and decoding process. The ABC is recent and successful optimization tool to pr oduce the best compressed image in terms of their compression ratio (CR), Peak Signal Noise ratio (PSNR) and quality.

Keywords

Wavelet packet transform, ABC algorithm, CR, PS

References

[1] B. Akay and D. Karaboga, Parameter tuning for the artificial bee colony algorithm, ICCCI 2009 (R. Kowalczyk N.T. Nguyen and S. - M. Chen, eds.), LNAI, vol. 5796, 2009, pp. 608 – 619.
[2] J. Chen, M. Yang, Y. Zhang, and X. Shi, Ecg compression by optimized quantizationof wavelet coefficients, ICIC 2006, LNCIS,vol. 345, Springer - Verlag Berlin Heidelberg, 2006, p. 809814.
[3] R.R. Coifman and M.V. Wickerhauser, Entropy - based algorithms for best basis selection, IEEE Transactions on Information Theory 38 (199 2), no. 2, 713 – 718.
[4] D. karaboga and B.Akay, Wavelet Packets Optimization using Artificial Bee Colony Algorithm Artificial Intelligence Review 31 (2009),no. 1, 68 – 55.