International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 116

Survey Paper | Electronics & Communication Engineering | India | Volume 3 Issue 12, December 2014

Comparative Study of High Density Salt and Pepper Noise Removal (Spatial Domain Methods used in Image Processing)

Shrawan Kumar, Nitish Sati, Hemant Singh Karakoti

This paper deals with the study of Salt & Pepper noise and different de-noising methods to remove them. Noise densities varies from 10 to 98 % in an image. Various filters such as Mean Filters, Order-Statistic Filters and Adaptive filter are used for image de-noising. From Mean Filter Arithmetic Mean Filter, Max and Min Filter from Order-Statistic Filters and Adaptive mean Filter from Adaptive Filters and Median filters respectively. Comparison of different noise removal technique is based on three parameters Mean Absolute Error (MAE), Mean Square Error (MSE), and Peak Signal Noise Ratio (PSNR). The mean absolute error is a quantity used to measure how close forecast or predictions are to the eventual outcomes. The mean square error of an estimator is one of many ways to quantify the difference between an estimator and the true value of quantity being estimated. MSE is a risk function, corresponding to the excepted value of the squared error loss or quadratic loss. MSE measures the average of the square of the error. The error is the amount by which the estimator differs from the quantity to be estimated. The phrase Peak Signal to Noise Ratio, often known as PSNR, is an engineering term for the ratio between maximum possible power of a signal and the corrupting noise that affects the fidelity of its representation. Because many signals have a very wide dynamic range, PSNR is usually expressed in terms of the logarithmic decibel scale. Our quantitative results with help of MATLAB simulations show that for lower noise densities to medium-high densities (10 to 98 %), Max filter gives the optimum performance followed by adaptive filter, Median filters. For noise densities from 60 % to 80 %, Min Filter showed best results, followed by Max and Adaptive median filter respectively. For higher noise values (>90 %) the Min Filter showed the best results followed by Adaptive mean filter and median filter.

Keywords: Salt and pepper noise, Image de-noising, MAE, MSE and PSNR

Edition: Volume 3 Issue 12, December 2014

Pages: 1199 - 1203

Share this Article

How to Cite this Article?

Shrawan Kumar, Nitish Sati, Hemant Singh Karakoti, "Comparative Study of High Density Salt and Pepper Noise Removal (Spatial Domain Methods used in Image Processing)", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=1121404, Volume 3 Issue 12, December 2014, 1199 - 1203

Enter Your Email Address


Similar Articles with Keyword 'Image denoising'

Downloads: 112

Review Papers, Electronics & Communication Engineering, India, Volume 3 Issue 4, April 2014

Pages: 699 - 701

Analysis of Different Image Denoising Techniques

Devang K. Vadher, D. U. Shah

Share this Article

Downloads: 113

Review Papers, Electronics & Communication Engineering, India, Volume 4 Issue 3, March 2015

Pages: 1773 - 1775

Classification of Image Denoising Techniques

Mayur Dilip Jakhete

Share this Article

Similar Articles with Keyword 'MAE'

Downloads: 118

Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 9, September 2014

Pages: 2295 - 2300

An Improved MRI Image Denosing Using Global Thresholding Technique

Manoj Gabhel, Rikhee Ram

Share this Article

Downloads: 119

Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 9, September 2014

Pages: 1212 - 1216

Comparative Analysis of Various Denoising Techniques for MRI Image Using Wavelet

Manoj Gabhel, Aashish Hiradhar

Share this Article

Similar Articles with Keyword 'Salt'

Downloads: 106

Research Paper, Electronics & Communication Engineering, India, Volume 4 Issue 4, April 2015

Pages: 2576 - 2580

Restoration and Comparisons of Gaussian Blurred-Noisy Image Using Different Filtering Techniques

Aanchal Joseph, Sandeep B. Patil

Share this Article

Downloads: 118

Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 10, October 2014

Pages: 142 - 146

High Density Salt and Pepper Noise Removal Using Adapted Decision Based Unsymmetrical Trimmed Mean Filter Cascaded With Gaussian Filter

Priyanka Priyadarshni, Shivam Sharma

Share this Article

Similar Articles with Keyword 'pepper'

Downloads: 106

Research Paper, Electronics & Communication Engineering, India, Volume 4 Issue 4, April 2015

Pages: 2576 - 2580

Restoration and Comparisons of Gaussian Blurred-Noisy Image Using Different Filtering Techniques

Aanchal Joseph, Sandeep B. Patil

Share this Article

Downloads: 118

Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 10, October 2014

Pages: 142 - 146

High Density Salt and Pepper Noise Removal Using Adapted Decision Based Unsymmetrical Trimmed Mean Filter Cascaded With Gaussian Filter

Priyanka Priyadarshni, Shivam Sharma

Share this Article

Similar Articles with Keyword 'noise'

Downloads: 127

Research Paper, Electronics & Communication Engineering, India, Volume 7 Issue 6, June 2018

Pages: 1662 - 1664

Enhancement of Gray Level Image by Fuzzy and Filter Technique

Monalisa Pandey, Pankaj Sharma

Share this Article

Downloads: 134

Research Paper, Electronics & Communication Engineering, India, Volume 5 Issue 11, November 2016

Pages: 422 - 426

An Segmentation Under Connected Components Based on Watershed Algorithm Using FPGA Processor

R. Kiruthikaa, S. Salaiselvapathy

Share this Article

Similar Articles with Keyword 'Image'

Downloads: 127

Research Paper, Electronics & Communication Engineering, India, Volume 7 Issue 6, June 2018

Pages: 1662 - 1664

Enhancement of Gray Level Image by Fuzzy and Filter Technique

Monalisa Pandey, Pankaj Sharma

Share this Article

Downloads: 152

M.Tech / M.E / PhD Thesis, Electronics & Communication Engineering, India, Volume 4 Issue 3, March 2015

Pages: 130 - 134

Segmentation of Touching Characters in Indian Scripts

B. Hari Kumar, N. Sateesh

Share this Article

Similar Articles with Keyword 'denoising'

Downloads: 106

Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 11, November 2014

Pages: 1649 - 1652

Sharpness Enhancement and Denoising of Image Using L1-Norm Minimization Technique in Adaptive Bilateral Filter

Shahla Naureen Khan, Chhabikiran Sao

Share this Article

Downloads: 112

Review Papers, Electronics & Communication Engineering, India, Volume 3 Issue 4, April 2014

Pages: 699 - 701

Analysis of Different Image Denoising Techniques

Devang K. Vadher, D. U. Shah

Share this Article
Top