To solve the contradiction of image denoising and detail-preserving under high-density salt-and-pepper noise

this paper proposes a Neutrosophy-Gray filter by using the fusion of indeterminacy information.It has a two-stage scheme:noise detecting and noise removing.In detecting stage

to improve the accuracy of noise detection

Max-Min algorithm is employed firstly

then noise candidates are judged again by the dual criteria of Extreme-Compression-Grey-Correlation-Degree (ECGCD) and Ordered-Indeterminacy (OI).In filtering stage

the algorithm applies the multiplicative fusion of ECGCD and indeterminacy to measure the similarity of pixels

and a Neutrosophy-Gray adaptive weighted function is presented.Experiments show

for different images

the rates of noise eliminating change between 0.1% and 8.8%

and performances of denoising and detail-preserving of the proposed algorithm are superior to current filters even at high level noise (70%~90%).