Wavelet-Based ODBTC Image Reconstruction

Authors

  • Heri Prasetyo Department of Informatics, Universitas Sebelas Maret, Surakarta, Indonesia.
  • Dwi Riyono Department of Printing Technology and Graphic Art, Politeknik Negeri Media Kreatif, Jakarta, Indonesia.

Keywords:

Image Reconstruction, Image Quality Improvement, Odbtc, Wavelet,

Abstract

This paper presents a new technique for improving the quality of Ordered Dither Block Truncation Coding (BTC) decoded image. The proposed method exploits the wavelet usability on decomposing the decoded image into low and highfrequency subbands. It employs the two-dimensional Discrete Wavelet Transform (DWT) and two-dimensional Stationary Wavelet Transform (SWT). This scheme considers the ODBTC decoded image as noisy image in which the occurrence of noise can be minimized by modifying the wavelet high frequency. As documented in experimental results, the proposed method yields a promising result in the ODBTC image reconstruction.

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Published

2018-07-03

How to Cite

Prasetyo, H., & Riyono, D. (2018). Wavelet-Based ODBTC Image Reconstruction. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-4), 95–99. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4324

Issue

Vol. 10 No. 2-4: Enhancing Digital Trust for Sustainable Development

Section

Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)