Image Denoising by Non-Parametric Statistical Model of Wavelet Coefficients |
Author(s): |
| Anuradha Nayak , JABALPUR ENGINEERING COLLEGE, JABALPUR, INDIA; Prof. Abhishek Verma, JABALPUR ENGINEERING COLLEGE, JABALPUR, INDIA |
Keywords: |
| DWT, Wavelet Thresholding |
Abstract |
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Today, the transmission of information takes place mainly through digital images and videos, but the images obtained after transmission is often corrupted with noise. It is necessary to clean or denoise the received image for its further use. In this work a new image denoising algorithm by using a non-parametric statistical model of wavelet coefficient is presented. The proposed non-parametric statistical model is more suitable than conventional models to formulate the marginal distribution of wavelet coefficients, which exploits MAP estimation-based image denoising algorithm, which further exploits the proposed non-parametric model as the prior image model. |
Other Details |
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Paper ID: IJSRDV5I110054 Published in: Volume : 5, Issue : 11 Publication Date: 01/02/2018 Page(s): 46-50 |
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