In this research, we will work on the development of a new method for the removal of salt & pepper noise by creating a new hybridized filter using existing and/or new noise removal filters. The proposed filter will remove the noise with no or minimum image quality degradation. Salt & pepper noise degrades the quality of the image by hiding the details of objects in the image and also causes damages to the colour quality of an image. The noise has to be removed to obtain the good quality image after removing the salt and pepper noise. But the existing salt & pepper noise removal filter like median filter are not capable of reproducing object details in image with higher accuracy. We propose the development of an advanced salt & pepper noise removal filter using effective statistic and image processing methods to remove the noise along with support vector machine (SVMs) that will effectively do the job by reproducing the deep image details after removing the noise, which will enhance the quality of image than the existing filters.

 

Published In : IJCSN Journal Volume 3, Issue 4

Date of Publication : August 2014

Pages : 253 - 256

Figures : 01

Tables : 01

Publication Link : A Fast and Robust Hybridized Filter for Image De-Noising

 

 

 

Ramandeep Kaur : Ramandeep kaur received the M.SC(IT) Master degrees in information technology from T.P.D Punjabi university nebhourhood campus rampura-phul in 2012. Currently she is pursuing m.tech degree in Information Technology from guru kashi university, talwandi sabo, bathinda (punjab). her research interests include Digital Image Processing and Image Enhancement.

Rachna Rajput : Assistant Professor, Dept. of CSE, Guru Kashi University, Talwandi Sabo, Punjab, India

 

 

 

 

 

 

 

salt and peper noise

median filter

SVM

PSNR

MSE

RMSE

In this research, we will work on the development of a new method for the removal of salt & pepper noise by creating a new hybridized filter using existing and/or new noise removal filters. The proposed filter will remove the noise with no or minimum image quality degradation. Salt & pepper noise degrades the quality of the image by hiding the details of objects in the image and also causes damages to the colour quality of an image. The noise has to be removed to obtain the good quality image after removing the salt and pepper noise. But the existing salt & pepper noise removal filter like median filter are not capable of reproducing object details in image with higher accuracy. We propose the development of an advanced salt & pepper noise removal filter using effective statistic and image processing methods to remove the noise along with support vector machine (SVMs) that will effectively do the job by reproducing the deep image details after removing the noise, which will enhance the quality of image than the existing filters.

 

 

 

 

 

 

 

 

 

[1] Sanjeev Kumar, Asutosh Kar and Mahesh Chandra, “SVM Based Adaptive Median Filter Design for Face Detection in Noisy Images”, International Conference on Signal Processing and Integrated Networks (SPIN), 2014.

[2] Abhishek Kesharwani, Sumit Agrawal, Mukesh Kumar Dhariwal, “An Improved Decision based Asymmetric Trimmed Median Filter for Removal of High Density Salt and Pepper Noise”, International Journal of Computer Applications (0975 – 8887) Volume 84 – No 8, December 2013

[3] Om Prakash Verma and Shweta Singh “A Fuzzy Impulse Noise Filter Based on Boundary Discriminative Noise Detection”, Journal of Information Processing System, Vol.9, No.1, March 2013.

[4] Chanchal Srivastava, Saurabh Kumar And O.P. Singh, “performance comparison of various filters and wavelet transform for image de-noising” IOSR Journal of computer Engineering (IOSR-JCE), p-ISSN: 2278- 8727Vol. 10,Issue. 1, April 2013.

[5] Vinod Kumar, Anil Kumar, and Pushpraj Pal, “Image Denoising Using Hybrid Filter”, IJDNS, Volume 1, No.1, 2012.

[6] Sucharita Padhi, Debananda Padhi and Bratat iMohanty, “Order Statistic Filters for removing Saltand- Pepper Noise of Images: A Comparative Study” International Journal of Advanced Research in Computer Science and Software Engineering Volume 2, Issue 1, January 2012.

[7] V.Adhinarayanan, S.P.Sheebha, L. Sriraman, T. N. Prabakar, G. Seetharaman, “A Modified algorithm for Removal of Salt and Pepper Noise in Color Images”, Third International Conference on Intelligent Systems Modelling and Simulation 978-0-7695-4668-1/12, 2012 IEEE.

[8] Tzu-Chao Lin and Pao Ta Yu, “Adaptive Two-Pass Median Filter Based on Support Vector Machines for Image Restoration”, SPIN VOLUME-9, 2012

[9] Zhang Jianjun, “An Effective Algorithm for Salt-and- Pepper Noise Removal in Color Images”, 978-1-4673- 0174-9/12 p.g 716 ICALIP2012, 2012 IEEE.

[10] Vladimir V. Khryashchev, “Vector Median Filter with Directional Detector for Color Image Denoising”, Proceedings of the World Congress on Engineering 2011 Vol II WCE 2011, July 6 - 8, 2011, London, U.K.

[11] Pawan Patidar and Manoj Gupta, “Image De-noising by Various Filters for Different Noise”, International Journal of Computer Applications (0975 – 8887) Volume 9– No.4, November 2010.