International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

High Density Impulse Noise Removal and Edge Detection in SAR Images Based on DWT-SVM-NN Technique

S.RanjithaResearch Scholar, VTU, Dept. of ECE, East West Institute of Technology, Bengaluru-560091, IndiaDr. S G HiremathProfessor and Head, Dept. of ECE, East West Institute of Technology, Bengaluru-560091, India

Vol 2 No 8 (2018): Volume 2, Issue 8, October 2018 | Pages: 17-21

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 04-10-2018

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Abstract

Image de-noising is a classical inverse issue in the field of image processing. In the process of image acquisition or transmission, the unsatisfactory photography environment or the noisy transmission channel is the main cause for noisy images. In this paper, Discrete Wavelet Transform- Support Vector Machine- Neural Network (DWT-SVM-NN) technique is introduced to remove the impulse noise from the images. Additionally, in this work, Peak signal-to-noise +(PSNR), the computation speed value will be increased and Mean Square Error (MSE) value will be decreased in the DWT-SVM-NN technique. Finally, the accuracy of the impulse noise will be improved in DWT-SVM-NN method compared to the existing methods.

Keywords

image acquisition and transmission, impulse noise removal, discrete wavelet transforms, Peak signal-to-noise ratio, computation speed, Mean Square Error, field programmable gate array


Citation of this Article
Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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