Simulation of Hybrid Filter Model to Enhanced the Quality of Noisy Images

Authors

  • Rathore VK Department of Computer Science & Engineering, Chouksey Engineering College, India
  • Kharsan VS Department of Computer Science & Engineering, Chouksey Engineering College, India

Keywords:

Different MRI image, image noise, Filter, Median Filter, High-pass Filter, MSE, PSNR and SNR

Abstract

The objective of this paper, provide the simulation steps of hybrid filter model that consists image denoising and image enhancement implementation over three different noises such as Salt and Pepper (SPN), Gaussian noise, Speckle (SPKN) with different noise variance in range .02 to .14. Hybrid filter works on spatial filtering techniques such as median filter and high pass filter that is operate on neighbourhood pixels. Median filter technique is used for smoothness and other(High pass) for sharpening of images and extracting the useful information in analysis process for image processing because of the input images are not always in good quality. The same concept is applied to the different images and they are compared with one another. The performance measurement is proposed with the help of Mean Square Errors (MSE), Peak-Signal to Noise Ratio (PSNR) and Signal to Noise (SNR) .So as to choose the appropriate noise for different filtering methods for any image. Result has simulated on MATLAB R2007b.

References

. Nichol, J.E. and Vohra, V., Noise over water surfaces In Landsat TM images, International Journal of Remote Sensing, Vol.25, No.11, 2004, PP.2087 - 2093.

. Chi Chang-Yanab, Zhang Ji-Xiana, Liu Zheng-Juna, Study on Methods of Noise Reduction in a Stripped Image, the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol XXXVII. Part B6b, Beijing, 2008.

. Charles Boncelet (2005).”Image Noise Models”. in Alan C. Bovik. Handbook of Image and Video Processing.

. Sedef Kent, Osman Nuri Oçan, and Tolga Ensari (2004)."Speckle Reduction of Synthetic Aperture Radar Images Using Wavelet Filtering". in astrium. EUSAR 2004 Proceedings, 5th European Conference on SyntheticAperture Radar, May 25–27, 2004, Ulm, Germany.

. Nagao M and Matsuyama T. (1997) Computer Graphics and Image Processing, vol. 9, pp. 394-407.

. Lee J (1980) IEEE Transaction on pattern analysis and ma-chine intelligence, pp. 165-168.

. Polesel A (2000) IEEE Transaction on Image Processing, vol.9, pp. 505 510.

. Image Processing Science calculating RMSE and PSNR for color images Retrieved 6 April 2011.

. Ming Zhang and Bahadur Gunturk (2008) ICASSP, IEEE, pp. 929-932.

Muhammad Suzuri Hitam, Wan Nural Jawahir Hj Wan Yussof, Ezmahamrul Afreen Awalludin and Zainuddin Bachok, “Mixture Contrast Limited Adaptive Histogram Equalization for Underwater Image Enhancement”, IEEE, 2013.

K.Sreedhar, B.Panlal, “Enhancement Of Images using Morphological Transformations”, International Journal of Computer Science & Information Technology (IJCSIT) Vol 4, No 1, Feb 2012.

Downloads

Published

2025-11-11

How to Cite

[1]
V. S. Rathore and V. S. Kharsan, “Simulation of Hybrid Filter Model to Enhanced the Quality of Noisy Images”, Int. J. Comp. Sci. Eng., vol. 4, no. 7, pp. 18–23, Nov. 2025.

Issue

Vol. 4 No. 7 (2016): IJCSE July Edition

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.