In order to solve problems of incomplete denoising and large distortion of texture details

etc

put forward an adaptive weighted vector filtering method. This method divides noise image into several blocks

by scanning method

pixel points which are different from the center pixels are stored in one row（ column） vector

extract the maximum

the minimum value and median and compared with each pixel point to be test

define variable

weighting the original pixel values

the maximum

the minimum value and median

reconstruct each pixel point to make a new image. Experiments show the progress of denoising and texture protection of the method in processing different types of images

meanwhile

it has strong adaptivity.