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All Journal International Journal of Electrical and Computer Engineering
C. Elaf A. Abbood
abylon University/Science College for Women/ Computer Dep., Babylon, Iraq
Computer Science & IT Electrical & Electronics Engineering

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Salt and Pepper Noise Removal Using Resizable Window and Gaussian Estimation Function Suhad A. Ali; C. Elaf A. Abbood; Shaymaa Abdu lKadhm
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 5: October 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (820.737 KB) | DOI: 10.11591/ijece.v6i5.pp2219-2224

Abstract

Most types of the images are corrupted in many ways that because exposed to different types of noises. The corruptions happen during transmission from space to another, during storing or capturing. Image processing has various techniques to process the image. Before process the image, there is need to remove noise that corrupt the image and enhance it to be as near as to the original image. This paper proposed a new method to process a particular common type of noise. This method removes salt and pepper noise by using many techniques. First, detect the noisy pixel, then increasing the size of the pixel window depending on some criteria to be enough to estimate the results. To estimates the pixels of image, the Gaussian estimation function is used. The resulted image quality is measured by the statistical quantity measures that's Peak Signal-to-Noise Ratio (PSNR) and The Structural Similarity (SSIM) metrics. The results illustrate the quality of the enhanced image compared with the other traditional techniques. The slight gradual of SSIM metric described the performance of the proposed method with high increasing of noise levels.
Co-Authors Shaymaa Abdu lKadhm Suhad A. Ali