Title :
Wavelet packets optimization using Artificial Bee Colony algorithm
Author :
Akay, Bahriye ; Karaboga, Dervis
Author_Institution :
Dept. of Comput. Eng., Erciyes Univ., Kayseri, Turkey
Abstract :
The increment in the sizes of the images by the technological advances accompanies high demand for large capacities, high performance devices, high bandwidths etc.,. Therefore, image compression techniques are essential to reduce the computational or transmittal costs. Wavelet transform is one of the compression techniques especially used for images and multimedia files. In wavelet transform, approximation and detail coefficients are extracted from the signal by filtering. Both approximation and detail coefficients are re-decomposed up to some level to increase frequency resolution. Once coefficients are generated, the optimum threshold values are deter mined to obtain the best reconstructed image, which can be considered as an optimization task. In this study, Artificial Bee Colony algorithm which is a recent and successful optimization tool is used to determine the thresholds to produce the best compressed image in terms of both compression ratio and quality.
Keywords :
approximation theory; feature extraction; filtering theory; image coding; image enhancement; image reconstruction; image resolution; multimedia systems; optimisation; wavelet transforms; approximation coefficients; artificial bee colony algorithm; frequency resolution; image compression technique; image reconstruction; image size increment; multimedia files; optimum threshold values; signal filtering; wavelet packet optimization; wavelet transform; Image coding; Image reconstruction; PSNR; Radiation detectors; Wavelet packets; Artificial Bee Colony Algorithm; Image Compression; Multi-level Thresholding; Wavelet Packet Decomposition;
Conference_Titel :
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-7834-7
DOI :
10.1109/CEC.2011.5949603