A new salt and pepper noise removal filtering algorithm
Xiaorong Tan, Qian Zhang, Daifeng Zha
Abstract
Xiaorong Tan, Qian Zhang, Daifeng Zha
Abstract
A new filtering algorithm on eliminating salt and pepper noise is presented. The pixel value of the algorithm lies on the average pixel values of its neighbourhood. If the noise density is small, we may estimate and remove the most serious contaminated pixels in the template, and then find the average of remaining pixels within the template. This average is the value of the pixel denoising. In the case of large noise density, the average of point has been obtained by the top three pixels and one pixel on the left is the request. Experiment results show that the new algorithm is good in performance to keep the content of image and remove noise, especially in the case of strong noise and small window.
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A new filtering algorithm on eliminating salt and pepper noise is presented. The pixel value of the algorithm lies on the average pixel values of its neighbourhood. If the noise density is small, we may estimate and remove the most serious contaminated pixels in the template, and then find the average of remaining pixels within the template. This average is the value of the pixel denoising. In the case of large noise density, the average of point has been obtained by the top three pixels and one pixel on the left is the request. Experiment results show that the new algorithm is good in performance to keep the content of image and remove noise, especially in the case of strong noise and small window.
Key concepts: Salt-and-pepper noise, Pixel, Median filter, Non-local means, Noise (video), Dark-frame subtraction, Algorithm, Noise reduction