International Journal of Scientific Engineering and Technology

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Performance Analysis of Image Compression:A Discrete Wavelet Transform Based Approach


Affiliations
1 Department of Electronics and Communication Engineering, Shri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India
2 Department of Electronics and Communication Engineering, Sri Satya Sai Institute of Science and Technology, Sehore, M.P., India
3 Department of Electronics and Communication Engineering, Atmiya Engineering College, Gujrat Technical University Rajkot, Gujrat, India
 

In this Paper we introduce modified EZW algorithm for the purpose of image compression which seems to be an enhanced version compare to the existing algorithm. This algorithm is an extension of EZW algorithm given and analysed by Sharpiro’s where we reduce the difficulty of EZW in transmitting the lower bit planes. In this paper, we include digital wavelet transformation and region of interest coding to modified EZW and hence make it more superior to EZW and SPIHT Algorithm and it is proved with the results.

Keywords

Compression, Wavelet, Embedded Zero Wavelet, Region of Interest, SPIHT.
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  • Performance Analysis of Image Compression:A Discrete Wavelet Transform Based Approach

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Authors

Yogita Sojitra
Department of Electronics and Communication Engineering, Shri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India
Abhishek Katariya
Department of Electronics and Communication Engineering, Shri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India
A. K. Vibhakar
Department of Electronics and Communication Engineering, Sri Satya Sai Institute of Science and Technology, Sehore, M.P., India
Poorvi Patel
Department of Electronics and Communication Engineering, Atmiya Engineering College, Gujrat Technical University Rajkot, Gujrat, India

Abstract


In this Paper we introduce modified EZW algorithm for the purpose of image compression which seems to be an enhanced version compare to the existing algorithm. This algorithm is an extension of EZW algorithm given and analysed by Sharpiro’s where we reduce the difficulty of EZW in transmitting the lower bit planes. In this paper, we include digital wavelet transformation and region of interest coding to modified EZW and hence make it more superior to EZW and SPIHT Algorithm and it is proved with the results.

Keywords


Compression, Wavelet, Embedded Zero Wavelet, Region of Interest, SPIHT.