Image Denoising Based on Adaptive Wavelet Multiscale Thresholding Method
Priyadharshini .S1, Gayathri .K2, Priyanka .S3, Eswari .K4
1Priyadharshini.S, Department of Electronics and Communication Engineering, V.S.B Engineering College, Karur, Tamilnadu, India.
2Gayathri.K, Department of Electronics and Communication Engineering, V.S.B Engineering College, Karur, Tamilnadu, India.
3Priyanka.S, Department of Electronics and Communication Engineering, V.S.B Engineering College, Karur, Tamilnadu, India.
4Eswari.K, Department of Electronics and Communication Engineering, V.S.B Engineering College, Karur, Tamilnadu, India.
Manuscript received on April 05, 2013. | Revised Manuscript received on April 11, 2013. | Manuscript published on April 15, 2013. | PP: 37-39 | Volume-1 Issue-5, April 2013. | Retrieval Number: E0227041513/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper introduces a new technique called adaptive wavelet thresholding and wavelet packet transform to denoised the image based on generalized Gaussian distribution. It chooses an adaptive threshold value which is level and sub band dependent based on analyzing the sub band coefficients. Experimental results, on different test images under different noise intensity conditions, shows proposed algorithm, called OLI-Shrink, yields better peak signal noise ratio with superior visual image quality measured by universal image quality index compared to standard denoising methods. It also performs some of wavelet-based denoising techniques. Wavelet transform enable us to represent image with high degree of scarcity. Wavelet transform based denoising technique are of greater interest because of their fourier and other spatial domain methods.
Keywords: Adaptive wavelet thresholding, OLI Shrink, wavelet packet transform (WPT), optimal wavelet basis (OWB), sub band weighting function(SWF).