Wavelet coefficients reduction method based on standard deviation concept for high quality compressed image
This paper proposes a method to estimate the wavelet coefficient threshold value at wavelet details subbands to archive high quality image compression. It uses the features of Discrete Wavelet Transform (DWT) where the images are decomposed into one approximate subband and three detail subbands. The...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Little Lion Scientific Islamabad Pakistan
2015
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| Subjects: | |
| Online Access: | http://jatit.org/index.php http://jatit.org/index.php http://eprints.uthm.edu.my/7324/1/shahidah_4Vol79No3.pdf |
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| Summary: | This paper proposes a method to estimate the wavelet coefficient threshold value at wavelet details
subbands to archive high quality image compression. It uses the features of Discrete Wavelet Transform
(DWT) where the images are decomposed into one approximate subband and three detail subbands. The
detail subbands consists of Diagonal, Vertical and Horizontal subband. By using the standard deviation
concept we estimate the threshold value at each detail subbands. The coefficients with larger value then the
calculated threshold will be retained while the rest will be discarded. So, for every single image, different
threshold values are calculated and applied at each detail subbands. From the experiment done, we found
that the proposed method eliminate the near-zero coefficients effectively without harming the quality of the
compressed image.
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