Adaptive Median Filter Based Noise Removal Algorithm for Big Image Data

6 Pages Posted: 30 Jan 2019

See all articles by Vigneshwari K

Vigneshwari K

VELS Institute of Science, Technology & Advanced Studies (Formerly VELS University)

K Kalaiselvi

VELS Institute of Science, Technology & Advanced Studies (Formerly VELS University) - Department of Computer Science

Date Written: January 18, 2019

Abstract

In this work, develop and evaluate a novel Adaptive Median Filter (AMF) for noise removal which is devoted in the direction of contribution a consistent and proficient model for increasing the image quality in the existence of high noise levels. AMF algorithm is proposed for noise removal in the direction of increases quality of the image by reducing noises in the images. Filtering methods such as Decision Based Filtering (DBF), Median Filter (MF) and AMF are evaluated in terms of their force on the following image analysis. The experimental results show with the purpose of all of these filtering methods is able to give better results and higher value as the amount of noise being removed increases. The filtering methods results are measured in terms of metrics like Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), and time efficiency. The results analysis demonstrates that the proposed AMF algorithm is reliable for image data sets.

Keywords: Big Data, Cloud Computing, Distributed System, Filtering, Image Processing, MapReduce, Median Filtering, Noise Removal

Suggested Citation

K, Vigneshwari and Kalaiselvi, K, Adaptive Median Filter Based Noise Removal Algorithm for Big Image Data (January 18, 2019). International Journal of Advanced Studies of Scientific Research, Vol. 3, No. 10, 2018. Available at SSRN: https://ssrn.com/abstract=3318398

Vigneshwari K (Contact Author)

VELS Institute of Science, Technology & Advanced Studies (Formerly VELS University)

P.V, Vaithiyalingam Street
Pallavaram
Chennai, Tamil Nadu 600117
India

K Kalaiselvi

VELS Institute of Science, Technology & Advanced Studies (Formerly VELS University) - Department of Computer Science ( email )

P.V, Vaithiyalingam Street
Pallavaram
Chennai, Tamil Nadu 600117
India

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
225
Abstract Views
952
rank
142,608
PlumX Metrics