Quantization Error Minimization by Reducing Median Difference at Quantization Interval Class

Authors

  • 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. shahidah@uthm.edu.my

Keywords:

Error Minimization, Quantization, Interval Class,

Abstract

In this paper, a new technique to define the size of quantization interval is defined. In general, high quantization error will occur if large interval is used at a large difference value class whereas low quantization error will occur if a small interval is used at a large difference value class. However, the existence of too many class intervals will lead to a higher system complexity. Thus, this research is mainly about designing a quantization algorithm that can provide an efficient interval as possible to reduce the quantization error. The novelty of the proposed algorithm is to utilize the high occurrence of zero coefficient by re-allocating the non-zero coefficient in a group for quantization. From the experimental results provided, this new algorithm is able to produce a high compressed image without compromising with the image quality.

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Published

2018-02-15

How to Cite

Taujuddin, N. S. A. M., Ibrahim, R., & Sari, S. (2018). Quantization Error Minimization by Reducing Median Difference at Quantization Interval Class. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-8), 79–82. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3739

Issue

Vol. 10 No. 1-8: Breakthrough To Excellence in Communication and Computer Engineering IV

Section

Articles

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