A mixed de-nosing method of digital image based on removed-noise threshold

An efficient mixed de-nosing method of digital image based on removed-noise threshold is presented. The conception of neighborhood and removed-noise threshold is introduced. The weight average is insteaded of traditional average operation, which is assigned as weight value. This algorithm also advances pixel-block operation instead of pixel-pixel operation and removed-noise threshold instead of segmentation threshold, which causes the image more explicit and shows obvious superiority especially when the noise is more complex. Results show that the approach based on fuzzy smoothing approach provides a powerful noise removal ability than the classical ones.