scholarly journals Window Median Filter (WMF) to Eliminate Salt and Pepper Noise from Digital Color Image

2021 ◽  
Vol 10 (9) ◽  
pp. 23-37
Author(s):  
Hatim Zaini
Keyword(s):  
Digital Image ◽  
Color Image ◽  
Median Filter ◽  
Research Paper ◽  
Digital Data ◽  
Salt And Pepper Noise ◽  
Important Type ◽  
Salt And Pepper

A color digital image is a very important type of digital data, and this image may be exposed to the effect of negative noise, which distorts it and changes some of its characteristics. Therefore, it is necessary to search for a way to get rid of this noise. In this research paper, we an easy and flexible way to deal with salt and pepper noise will be presented tested and implemented, this method will base on selecting a window to deal with the noisy pixels based on median filter, image padding will be used to select the window with a suitable size. The practical results of the proposed method will be matched and compared with other methods used to remove noise to prove the efficiency of the proposed method for removing noise from the digital color image.

Modified tropical algebra based median filter for removing salt and pepper noise in digital image

2019 ◽  
Vol 13 (14) ◽  
pp. 2790-2795
Author(s):  
Achmad Abdurrazzaq ◽  
Ismail Mohd ◽  
Ahmad Kadri Junoh ◽  
Zainab Yahya
Keyword(s):  
Digital Image ◽  
Median Filter ◽  
Salt And Pepper Noise ◽  
Tropical Algebra ◽  
Salt And Pepper

scholarly journals Salt and Pepper Noise: Effects and Removal

2018 ◽  
Vol 2 (4) ◽  
pp. 252
Author(s):  
Jamil Azzeh ◽  
Bilal Zahran ◽  
Ziad Alqadi
Keyword(s):  
Image Quality ◽  
Color Image ◽  
Median Filter ◽  
Salt And Pepper Noise ◽  
Noise Elimination ◽  
Minimum Loss ◽  
Loss Of Information ◽  
Noise Ratio ◽  
Minimum Numbers ◽  
Salt And Pepper

Noises degrade image quality which causes information losing and unsatisfying visual effects. Salt and Pepper noise is one of the most popular noises that affect image quality. In RGB color image Salt and pepper noise changes the number of occurrences of colors combination depending on the noise ratio. Many methods have been proposed to eliminate Salt and Pepper noise from color image with minimum loss of information. In this paper we will investigate the effects of adding salt and pepper noise to RGB color image, the experimental noise ratio will be calculated and the color combination with maximum and minimum numbers of occurrence will be calculated and detected in RGB color image. In addition this paper proposed a methodology of salt and pepper noise elimination for color images using median filter providing the reconstruction of an image in order to accept result with minimum loss of information. The proposed methodology is to be implemented, tested and experimental results will be analyzed using the calculated values of RMSE and PSNR.

Enhancing the Performance of One Dimensional Median Filter

2019 ◽  
Vol 118 (7) ◽  
pp. 73-76
Author(s):  
Sharanabasappa ◽  
P Ravibabu
Keyword(s):  
Impulse Noise ◽  
Rank Order ◽  
Median Filter ◽  
Filter Method ◽  
Salt And Pepper Noise ◽  
Edge Preservation ◽  
Word Level ◽  
Look Ahead ◽  
Filter Architecture ◽  
Salt And Pepper

Nowadays, during the process of Image acquisition and transmission, image information data can be corrupted by impulse noise. That noise is classified as salt and pepper noise and random impulse noise depending on the noise values. A median filter is widely used digital nonlinear filter  in edge preservation, removing of impulse noise and smoothing of signals. Median filter is the widely used to remove salt and pepper noise than rank order filter, morphological filter, and unsharp masking filter. The median filter replaces a sample with the middle value among all the samples present inside the sample window. A median filter will be of two types depending on the number of samples processed at the same cycle i.e, bit level architecture and word level architecture.. In this paper, Carry Look-ahead Adder median filter method will be introduced to improve the hardware resources used in median filter architecture for 5 window and 9 window for 8 bit and 16 bit median filter architecture.

Different applied median filter in salt and pepper noise

2018 ◽  
Vol 70 ◽  
pp. 789-798 ◽  
Author(s):  
Uğur Erkan ◽  
Levent Gökrem ◽  
Serdar Enginoğlu
Keyword(s):  
Median Filter ◽  
Salt And Pepper Noise ◽  
Salt And Pepper

Reduction of Noise in Restoration of Images Using Mean and Median Filtering Techniques

2021 ◽  
Vol 9 (9) ◽  
pp. 301-313
Author(s):  
Vimal Chauhan
Keyword(s):  
Image Processing ◽  
Image Restoration ◽  
Median Filter ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Digital Cameras ◽  
Salt And Pepper Noise ◽  
Satellite Imaging ◽  
Mean Filter ◽  
Salt And Pepper

Abstract: The purpose of this paper is to present a study of digital technology approaches to image restoration. This process of image restoration is crucial in many areas such as satellite imaging, astronomical image & medical imaging where degraded images need to be repaired Personal images captured by various digital cameras can easily be manipulated by a variety of dedicated image processing algorithms [2]. Image restoration can be described as an important part of image processing technique. Image restoration has proved to be an active field of research in the present days. The basic objective is to enhance the quality of an image by removing defects and make it look pleasing [2]. In this paper, an image restoration algorithm based on the mean and median calculation of a pixel has been implemented. We focused on a certain iterative process to carry out restoration. The algorithm has been tested on different images with different percentage of salt and pepper noise. The improved PSNR and MSE values has been obtained. Keywords: De-Noising, Image Filtering, Mean Filter & Median Filter, Salt and Pepper Noise, Denoising Techniques, Image Restoration.

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