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.
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.
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/