Estimation and Reduction of Gaussian Noise and High-Density Salt and Pepper Noise Through Modified Decision Based Trimmed Median and Gaussian Filter Using Matlab

Volume 3 Issue 3 September - November 2016

Research Paper

Estimation and Reduction of Gaussian Noise and High-Density Salt and Pepper Noise Through Modified Decision Based Trimmed Median and Gaussian Filter Using Matlab

Apoorwa Tiwari*, Devanand Bhonsle**

* PG Student, Department of Electronics and Telecommunication Engineering, Shri Shankaracharya College of Engineering and Technology, Bhilai, India.

** Senior Assistant Professor, Department of Electrical & Electronics, Shri Shankaracharya College of Engineering and Technology, Bhilai, India.

Tiwari, A., and Bhonsle, D. (2016). Estimation And Reduction Of Gaussian Noise And High-Density Salt And Pepper Noise Through Modified Decision Based Trimmed Median And Gaussian Filter Using Matlab. i-manager’s Journal on Pattern Recognition, 3(3), 24-31. https://doi.org/10.26634/jpr.3.3.12408

Abstract

In this paper, the authors have proposed a novel approach for noise estimation and reduction from a degraded image. The algorithm is designed using modified decision based trim median filter. This method helps to estimate the actual salt and pepper noise in any degraded image. They have also calculated the presence of Gaussian noise in some noisy images. In this paper, two filters were used; one is trim median filter used for estimation and removal of noise from the image corrupted with Salt and Pepper noise and the other is Gaussian filter which is used for Gaussian noise estimation and reduction. This is a better algorithm because it is based on a modified decision based system. GUI model has been used for this system which helps us to control and estimate the above mentioned noises in an image.>