Remote image acquisition in strong interference environment usually contain a lot of noise

the image quality is not good

the need for image denoising

image recognition and imaging performance improvement. The traditional image denoising methods using wavelet transform noise smoothing algorithm

the emergence of visual offset ratio is small in the case of signal to noise

image denoising effect is not good. This paper proposed an image de-noising algorithm information feature subspace based on uniform traversal. Based on triangular mesh texture partition structure model

the establishment of the noisy image linear model of direction relations by linear mode between approximately orthogonal design implementation

image filtering

noise isolation

with global non obvious mutation information extraction methods

they are ergodic addressing way based on the characteristics of image noise filtering to realize the traverse

implementation improved image denoising algorithm. The simulation results show that the algorithm has better performance in image denoising

it can improve on the quality of imaging and identification probability fuzzy image with noise

peak signal to noise is relatively high

and it has application value in the fields of remote fuzzy image recognition.