Image Noise and Edge Filtering - A Survey, Analysis using MATLAB  
  Authors : Arun Anoop M

 

Removing noise from the pictures could be a nice challenge for the researchers. Edge detection is a picture process technique for locating the boundaries of objects among pictures. Edge find filters look for borders betIen totally different colors so will find contours of objects. There are lots of image processing techniques to be available to apply and remove noise and signal based problems in an image. I surveyed noise filters and edge filters in concept view and also analyzed with the help of MATLAB. Analysis work is based on filter name,analysis output and pseudo code. I analyzed basic noise and edge filtering techniques in initial research work. I worked out with Gaussian noise, salt and pepper noise, speckle noise filter, poisson filter, median filter, wiener filter, sobel filter, prewitt filter, Robert filter, Laplacian filter and finally I calculated PSNR(Peak Signal to Noise Ratio) value also.

 

Published In : IJCAT Journal Volume 3, Issue 8

Date of Publication : August 2016

Pages : 404-411

Figures :24

Tables : 02

Publication Link :Image Noise and Edge Filtering - A Survey, Analysis using MATLAB

 

 

 

Arun Anoop M : He obtained his BTech in Computer Science and Engineering from cochin university in the year 2008.He completed his PG diploma in information security and system administration from DOEACC center, NIT , Calicut and obtained his MTech in Information Technology from kalasalingam university in the year 2011. Presently he is a PhD scholar under Anna University,Chennai. He worked as an Assistant Professor in Computer Science and Engineering, MESCE, kuttippuram, kerala. Now he is on study leave for doing his FullTime PhD. Before joining MESCE he worked as teaching assistant in information technology,Kalasalingam university, krishnankoil, Tamilnadu. He is having 3.11 years of teaching experience at MESCE and 6months teaching experience at Kalasalingam University. He has attended many workshops, FDPs and conferences. His areas of interest are network security,WSN,digital forensics,Image Forensics,Multimedia security. He has around 19 conferences and journals. And guided 6 Mtech Main projects.

 

 

 

 

 

 

 

Noise Filters, Edge Filters, Noise Removal, Edge Detection

I surveyed some noise and edge filters and analyzed some filters Gaussian noise, salt and pepper noise, speckle noise filter, poisson filter, median filter, wiener filter, sobel filter, prewitt filter, Robert filter, Laplacian filter in MATLAB based on pseudo code. And finally I calculated PSNR(Peak Signal to Noise Ratio) value. I have written PSNR calculation program and noted pseudo code of surveyed noise filters.

 

 

 

 

 

 

 

 

 

[1] I. Poornima Thangam, Digital Image Processing, Chennai: Charulatha Publications, July 2014. [2] Montage, Available: http://in.mathworks.com/ help/images/ref/montage.html [3] Gaussian Noise, Available: https://en.wikipedia.org/ wiki/Gaussian_noise [4] Salt-and-Pepper Noise, Available: http://www.imm.dtu.dk/~pcha/HNO/ChallF.pdfA. [5] Speckle noise, Available: https://en.wikipedia.org/ wiki/Speckle_noise [6] Pawan Patidar, Manoj Gupta, Sumit Srivastava, Ashok Kumar Nagawat,” Image De-noising by Various Filters for Different Noise”, IJCA, Volume 9– No.4, November 2010. [7] Shot noise, Available: https://en.wikipedia.org/ wiki/Shot_noise [8] Median filter, Available: https://en.wikipedia.org/ wiki/Median_filter [9] Wiener filter, Available: https://en.wikipedia.org/ wiki/Wiener_filter [10] Sobel operator, Available: https://en.wikipedia.org/ wiki/Sobel_operator [11] Prewitt operator, Available: https://en.wikipedia.org/ wiki/Prewitt_operator [12] Roberts edge, Available: http://www.roborealm.com/help/Roberts_Edge.php [13] Laplacian operator, Available: http://www.tutorialspoint.com/dip/laplacian_operat or.htm [14] J. S. Lee,” Digital image enhancement and noise filtering by use of local statistics”, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2:165-168, 1980. [15] Apaptive Filters,Available: http://www.harrisgeospatial.com/docs/AdaptiveFilte rs.html#Kuan [16] Dataset coind,Available: http://en.pudn.com/downloads121/sourcecode/graph /texture_mapping/detail513714_en.html [17] Dataset cameraman, Available: http://www.eecs.qmul.ac.uk/~phao/CIP/Images/