A Mixed Noise Reduction Algorithm for Underwater Laser Images Based on Soft-Morphological Filter
消除水下激光图像混合噪音的软形态滤波算法

Besides the adoption of range-gated to eliminate the backscatter, another way to advance the performance of underwater laser imaging is denoising of the images. Soft-morphological is introduced based on the analysis of the characteristic of noise in the underwater laser range-gated images. The multidirectional structures and polarized soft transformation is designed to build a OC filter. Discrete ED arithmetric is used to search the best value of repletion degree aiming at the speckle index and edge energy. The experiments showed that the proposed arithmetric is robustious because of the ability to filter the noise and protect the edge at the same time. When compared to Lee filter and nonlinear weighted averaging multidirectional generalized morphological filter, the performance of the proposed arithmetric which is universal at a certain extent is better.