Wavelet coefficients reduction method based on standard deviation concept for high quality compressed image

Taujuddin, Nik Shahidah Afifi and Ibrahim, Rosziati and Sari, Suhaila (2015) Wavelet coefficients reduction method based on standard deviation concept for high quality compressed image. Journal of Theoretical and Applied Information Technology, 79 (3). pp. 380-388. ISSN 1992-8645

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Abstract

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.

Item Type:Article
Uncontrolled Keywords:Discrete Wavelet Transform (DWT); thresholding; standard deviation; wavelet coefficients; image compression
Subjects:Q Science > Q Science (General)
Divisions:Faculty of Electrical and Electronic Engineering > Department of Computer Engineering
ID Code:7324
Deposited By:Mrs. Nik Shahidah Afifi Md Taujuddin
Deposited On:08 Oct 2015 15:22
Last Modified:08 Oct 2015 15:22

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