Image Enhancement by Thresholding on Wavelet Coefficient
M. E. Akbarpour1, M. R. Karami Mollaeiu2

1Mohammad Esmaeil Akbarpour, Dept. of Electrical Engineering, Shomal university, Amol, Iran.
2M. R. Karami Mollaei, Faculty of Electrical & Computer Engineering, Noushirvani University of Technology, Babol, Iran.

Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 483-486 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0822062312/2012©BEIESP
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Abstract: The different wavelet transform-based methods of the image De-noising by thresholding on wavelet coefficients are discussed in this paper. These methods include different ways of adaptive calculating of threshold value and also kinds of thresholdig function. After examining the existing methods, a simple and efficient method based on local features of each pixel has been proposed. At last the proposed method has been compared the other existing methods and it is obtained that the proposed method, despite of the simplicity, has the same efficiency as some of the common complex methods. In addition some times it has better response than the complex methods.

Keywords: Discreet wavelet transform (DWT), image enhancement, wavelet thresholding.