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Image compression using wavelet algorithm

Md Taujuddin, Nik Shahidah Afifi and Lockman, Nur Adibah (2011) Image compression using wavelet algorithm. In: International Seminar on the Application of Science and Mathematics 2011, 1 - 3 November 2011, Putra World Trade Centre, Kuala Lumpur.


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As the coming era of dig itized image in formation, it is critical to produce high compression performance wh ile minimizing the amount of image data so the data can be stored effectively. Co mpression is one of the indispensable techniques to solve this problem. The Wavelet Algorith m contains transformation process, quantization process, and lossy entropy coding. Wavelets are functions which allow data analysis of signals or images, according to scales or resolutions and it provide a powerful and remarkab ly flexib le set of tools for handling fundamental problems in science and engineering, such signal co mpression, image de -noising, image enhancement, image recognition. For the transformation process, Haar Wavelet Algorith m is introduced. In the quantization process, it reduces the precision of the sub -bands and achieves the compression. The lossy entropy coding process replaces the symbol stream produced in quantization stage. The main purpose of this project is to maintain the quality of image after the image compression process using Wavelet Algorithm. Besides that, it can produce high compression performance and minimize the amount of the image data s o that it can be stored effectively. Moreover, the performance of co mpress image will be analy zed. For this project, JPEG and PNG image is used and the system is built on MATLAB. So, by developing this system using Wavelet Image Co mp ression technique, it is hope that the image will co mpressed perfectly without harming the image.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Image co mpression, Wavelet Algorithm, lossy entropy coding.
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions: Faculty of Electrical and Electronic Engineering > Department of Robotic and Mechatronic Engineering
Depositing User: M.Iqbal Zainal A
Date Deposited: 20 Feb 2012 08:59
Last Modified: 20 Feb 2012 08:59
URI: http://eprints.uthm.edu.my/id/eprint/2370
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