Abstract
At the first, the algorithm unifies the all of the pixel domain within the rectangular pixels to . At the same time, it gave threshold value of the gradient amplitude. Then it calculates the gradient amplitude of each pixel. Finally, by comparing and , the isolated noise pixel is identified. For the noise pixel, we deal it with the median-filtering algorithm. And for the non-noise pixel, we remain them unchanged. So the algorithm did not lose the information of the original image.
Highlights
During the image generation, transmission and storage process, an image can produce a variety of image noise, because the limitations of sensors and other factors
This paper is on the basis of reference [2], proposed the image filtering algorithm based on the enlarged pixel domain
Vector gradient The basic idea of the image filtering algorithm based on the enlarged pixel domain is the identification and treatment of noise, among which the identification of noise is detecting the discontinuousness of gray value
Summary
Transmission and storage process, an image can produce a variety of image noise, because the limitations of sensors and other factors. Filtering algorithm is usually divided into linear filtering and nonlinear filtering. Median filtering can maintain a better effect for the isolated noise, the filtering capability will decline when the noise is a non-isolated pixel. Reference [2] combined the mean filtering with the adaptive median filtering, and improved the adaptive median filtering. It improved some of the filtering effect, but after filtering, each pixel is not the pixel before it is processed, so its information has been lost. This paper is on the basis of reference [2], proposed the image filtering algorithm based on the enlarged pixel domain. It only consider to filter the noises and the original information of non-noise pixels are reserved
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