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

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Author(s): V.Gopinath1 , Dr.Nishat Kanvel2 ,Dr. T.K.Shanthi

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 8;
Start page: 3455;
Date: 2013;
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Keywords: Wavelet packet transform | ABC algorithm | CR | PS

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 successful 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 produce the best compressed image in terms of their compression ratio (CR), Peak Signal Noise ratio (PSNR) and quality.

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