Title of article :
Comparative performance analysis of spatial domain filtering techniques in digital image processing for removing different types of noise
Author/Authors :
Dubey ، Prashant Kumar Department of Electronics and Comm. Engineering - S. V. Polytechnic College , Dubey ، Pratima Department of Electronics and Comm. Engineering - S. V. Polytechnic College , Sharma ، Mayank Mathematics Division - VIT University Bhopal , Changlani ، Soni Department of Electronics and Comm. Engineering - LNCT College
Abstract :
The reduction of the noise of the images always prevails as a challenge in the field of image processing. An image obtained after the elimination of noise has a higher clarity in terms of interpretation and study analysis in different fields such as medical, satellite and radar. This research work examines the various methods of de-noise images in the spatial domain and a comparison between several filtering techniques is carried out in the presence of different types of noise to achieve a high-quality image and to find the most suitable and reliable method for De-noising images. performance of all the filters is compared using parameters such as Mean Square Error (MSE), peak signal to noise ratio (PSNR).
Keywords :
image Processing , noise Removal , filtering techniques , mean square error (MSE) , signal to noise ratio(SNR) , Peak Signal noise ratio(PSNR)
Journal title :
International Journal of Nonlinear Analysis and Applications
Journal title :
International Journal of Nonlinear Analysis and Applications
