Rearranging the pixel using Log-Cumulant Parameter Estimator and Healing of Restoration Technique
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 13, Issue 9
Abstract
Using second-kind statistics technique noise reduction is not mile stone in the field of image processing, the log-cumulant estimator is proposed for pixel parameter estimation of the log-normal distribution in medical image. The estimates of the shape parameter and scale parameter are independent for the log-cumulant estimator for noise reduction. Parameter estimation results from Monte Carlo simulation demonstrate that, the log-cumulant estimator is insensitive to noise samples and it leads to better performance noise reduction when compared to the moment estimator using Laplacian function.
Authors and Affiliations
Mr. Vinod Singh, Mr. P Bhushan Singh, Mr. Akash Awasthi, Mr. Shivesh Pandey, Dr. Amod Tiwari
Keywords
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- EP ID EP650592
- DOI 10.24297/ijct.v13i9.2339
- Views 59
- Downloads 0
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