Image Compression Using Wavelet Packet Tree

 

G. K. Kharate , A. A. Ghatol, P.P. Rege

K. K. Wagh Institute of Engineering Education and Research, Nashik – 422003, Maharashtra, India.

Abstract:

The necessity in image compression continuously grows during the last decade; one of the most powerful and perspective approaches in this area is image compression using discrete wavelet transform. The image compression includes transform of image, quantization and encoding. This paper mainly describes the transform of image and quantization technique. The idea of Wavelet Packet Tree is used to transform the still and color images. This paper describes the new approach to construct the best tree on the basis of Shannon entropy. Algorithm checks the entropy of decomposed nodes (child nodes) with entropy of node, which has been decomposed (parent node) and takes the decision of decomposition of a node. In addition, we have proposed an adaptive thresholding for quantization, which is based on type of wavelet used and nature of image. The proposed algorithm provides a good compression performance. Results are compared in terms of percentage of zeros; percentage of energy retained and signals to noise ratio.

 

 

 

G. K. Kharate has received Bachelor of Engineering degree from Amaravati University.  He has received Master of Engineering degree from Shivaji University, Kolhapur. He has published eight books on various engineering subjects. He is undergoing his research on Image Compression. Currently he is working as Professor and Head of Information Technology department at K.K.Wagh Institute of Engineering Education and Research. He has total 18 years experience in teaching. His areas of interest include Digital Signal Processing, Digital Image Processing and Digital Electronics.

A. A. Ghatol has received Bachelor of Engineering degree from Government college of Engineering, Amaravati, Nagpur University. He has received Master of Technology degree and Ph.D. from Indian Institute of Technology, Powai, Mumbai. He is recipient of the following awards, 

• Best Teacher award of Maharashtra state.
• Quality excellence award of Pune University.

He has worked as Principal at Government college of Engineering, Amaravati. He has also worked as Principal at Pune Institute of Engineering and Technology, Pune (Formerly COEP). He has also worked as Dean of Engineering faculty, Pune University. Currently he is working as Vice Chancellor of Babasaheb Ambedkar Technical University, Lonere, District Raigad, and Maharashtra. His areas of interest and research are Electronic Devices, Artificial Intelligence & Neural Networks and Signal Processing.

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