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

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

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

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.

Country : India

1 S.Ranjitha2 Dr. S G Hiremath

  1. Research Scholar, VTU, Dept. of ECE, East West Institute of Technology, Bengaluru-560091, India
  2. Professor and Head, Dept. of ECE, East West Institute of Technology, Bengaluru-560091, India

IRJIET, Volume 2, Issue 8, October 2018 pp. 17-21

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