CFP last date
21 October 2024
Reseach Article

LHM Filter for Removal Salt and Pepper with Random Noise in Images

by Vishnu Prasad Jhariya, Ram Gopal Kashyap
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 139 - Number 1
Year of Publication: 2016
Authors: Vishnu Prasad Jhariya, Ram Gopal Kashyap
10.5120/ijca2016908962

Vishnu Prasad Jhariya, Ram Gopal Kashyap . LHM Filter for Removal Salt and Pepper with Random Noise in Images. International Journal of Computer Applications. 139, 1 ( April 2016), 9-15. DOI=10.5120/ijca2016908962

@article{ 10.5120/ijca2016908962,
author = { Vishnu Prasad Jhariya, Ram Gopal Kashyap },
title = { LHM Filter for Removal Salt and Pepper with Random Noise in Images },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 139 },
number = { 1 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 9-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume139/number1/24452-2016908962/ },
doi = { 10.5120/ijca2016908962 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:39:44.962787+05:30
%A Vishnu Prasad Jhariya
%A Ram Gopal Kashyap
%T LHM Filter for Removal Salt and Pepper with Random Noise in Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 139
%N 1
%P 9-15
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today's modern world, the image quality will be as good as the more information we can get from that image as an image of a planet comes to us, we will clean the image quality as ours about the Planet, But the more information will be able to achieve the integration of mixed noise in the image, we cannot get more information A LHM filter is proposed to remove high density salt & pepper noise from digital images and outer range noise. The proposed filter works in two stages, in the first stage the noisy pixels are detected and in the second stage each noisy pixel is replaced by the mean value of noise free pixel of 3×3 the performance of proposed filter is compared with the existing “Impulse Noise Removal Using MDBUTMF with Histogram Estimation filters “, The proposed filter shows better performance as compared to the above mentioned filters for noise removal from different gray scale images.

References
  1. Prateek Bansal, Himanshu Yadav,,Ramesh Kumar Sunkaria “Impulse Noise Removal Using MDBUTMF with Histogram Estimation” 2015 IEEE
  2. Aref Shams-Baboli, Ali Akbar Shams-Baboli,” A Modified Nonlinear Filtering Technique for Removal of High Density Salt and Pepper Noise” November 18- 19, 20 15 IEEE
  3. Er.Ravi Garg and Er. Abhijeet Kumar, “Comparison of Various Noise Removals Using Bayesian Framework”, International Journal of Modern Engineering Research (IJMER) , Jan-Feb 2012, Vol.2, Issue.1, 265-270.
  4. Mohammed Ghouse, Dr. M. Siddappa, “Adaptive Techniques Based High Impulsive Noise Detection and Reduction of Digital Image”, Journal of Theoretical and Applied Information Technology, Vol.24, No.1.
  5. Shyam Lal, Sanjeev Kumar and Mahesh Chandra “Removal of High Density Salt & Pepper Noise through Super Mean Filter for Natural Images” IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 3, May 2012.
  6. Geeta Hanji, M.V. Latte “A novel adaptive tolerance filter for random valued impulse noise suppression in digital grey and color images” Journal of Advanced Computer Science & Technology, 4 (1) (2015) 43-52
  7. Saleh Saraireh, Yazeed Al-Sbou, Ja’afer Al-Saraireh, Othman Alsmadi “Image Encryption Scheme Based on Filter Bank and Lifting” Int. J. Communications, Network and System Sciences, 2014, 7, 43-52 Published Online January 2014.
  8. Hossein Hosseini and Farokh Marvasti “Fast restoration of natural images corrupted by high-density impulse noise” Hosseini and Marvasti EURASIP Journal on Image and Video Processing 2013, 2013:15
  9. Anjali Garg “An Improved Switching Median Filter Based on Local Outlier Factor” International Journal of Engineering Research and General Science Volume 3, Issue 2, March-April, 2015
  10. S. Athi Narayanan, G. Arumugam, Prof. Kamal Bijlani” Trimmed Median Filters for Salt and Pepper Noise Removal” Volume 2, Issue 1, January – February 2013
  11. Anup Vibhute, S K Bodhe “Applications of Image Processing in Agriculture: A Survey”International Journal of Computer Applications (0975 – 8887) Volume 52 – No. 2 , August 2012
  12. B.Srikanth, G.Padmaja , Dr. Syed Khasim , Dr. P.V.S.Lakshmi, A.Haritha “Secured Bank Authentication using Image Processing and Visual Cryptography “ Vol. 5 (2) , 2014, 2432-2437
  13. “An Investigation of an Image Processing Application for Measurement of a Quantity Estimate of Euro Form Installed in Construction Sites “16-18 Dec. 2010
  14. V.V.D. Shah “Image Processing and its Military Applications” Military College of Telecommunication Engineering, Mhow4.53 441 2015 IEEE
Index Terms

Computer Science
Information Sciences

Keywords

Image de-noising Image classification Image restoration and decomposition Impulsive Noise MDBUTMF.