The Effect on Compressed Image Quality using Standard Deviation-Based Thresholding Algorithm


  • N. S. A. M Taujuddin Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia 86400 Parit Raja, Batu Pahat, Johor, Malaysia
  • Rosziati Ibrahim Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia
  • Suhaila Sari Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia 86400 Parit Raja, Batu Pahat, Johor, Malaysia
  • Saima Anwar Lashari Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia


Compression, Image Quality, Standard Deviation, Thresholding,


In recent decades, digital images have become increasingly important. With many modern applications use image graphics extensively, it tends to burden both the storage and transmission process. Despite the technological advances in storage and transmission, the demands placed on storage and bandwidth capacities still exceeded its availability. Compression is one of the solutions to this problem but elimination some of the data degrades the image quality. Therefore, the Standard Deviation-Based Thresholding Algorithm is proposed to estimate an accurate threshold value for a better-compressed image quality. The threshold value is obtained by examining the wavelet coefficients dispersion on each wavelet subband using Standard Deviation concept. The resulting compressed image shows a better image quality with PSNR value above 40dB.


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How to Cite

M Taujuddin, N. S. A., Ibrahim, R., Sari, S., & Lashari, S. A. (2017). The Effect on Compressed Image Quality using Standard Deviation-Based Thresholding Algorithm. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-8), 39–43. Retrieved from

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