Image compression using wavelet algorithm
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 t...
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| Pengarang-pengarang Utama: | , |
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| Format: | Conference or Workshop Item |
| Diterbitkan: |
2011
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.uthm.edu.my/2370/ http://eprints.uthm.edu.my/2370/1/92.pdf |
| Penanda-penanda: |
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| Ringkasan: | 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. |
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