Non-uniform Strong Noise Removal Method of Non-cooperative Mine Target Image

The detection of mine targets will be interfered by the underwater non-uniform strong noise (organic matter, suspended particles, etc). To solve this problem, the paper proposes a novel denoising method. Firstly, a new optimization filtering algorithm LEP-EPC is proposed based on the local edge-preserving (LEP) filtering algorithm. A spatially adaptive edge perception constraint regularization term is introduced into the model to better represent the edges and details of the image, so that the edge-preserving and smoothing property of the algorithm is better. Secondly, the paper uses multi-scale strategy to solve the non-uniformity of strong noise, iteratively applies the LEP-EPC algorithm to the noise removal results of each scale to generate multi-scale decomposition, and gradually increases the denoising scale in the process of multi-scale decomposition. The strong noise of different scales is gradually separated from the mine targets image. The experimental results show that the proposed algorithm can remove the underwater non-uniform strong noise while retaining the mine target information, which also has a certain guiding significance for mine operation.