Wavelet-Based ODBTC Image Reconstruction
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.References
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J. M. Guo, M. F. Wu, and Y. C. Kang, “Watermarking in conjugate ordered dither block truncation coding images,” Signal Process., vol. 89, no. 10, pp. 1864-1882, 2009.
J. M. Guo, H. Prasetyo, and H. S. Su, “Image indexing using the color and bit pattern feature fusion,” J. Visual Commun. Image Represen., vol. 24, no. 8, pp. 1360-1379.
J. M. Guo, H. Prasetyo, H. Lee, and C. C. Yao, “Image retrieval using indexed histogram of Void-and-Cluster Block Truncation Coding,” Signal Process., vol. 123, pp. 143-156, 2016.
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