Affiliations:
College of Computer and Information Engineering, Hohai University, Nanjing, China
Correspondence:
[*]
Corresponding author. Lili Zhang, College of Computer and Information Engineering, Hohai University, Nanjing 211100, China. E-mail: lilzhang@hhu.edu.cn.
Abstract: Due to the limited focus range of optical imaging system, and the locations or focus of different objects in the same scene are different, multiple objects cannot be focused at the same time. In order to solve this problem and make the underwater image clearer, we propose a fusion method based on the sparse matrix in this paper. Firstly, we transform the source image into sparse image by sparse transform and get the clearity of the image based on the sparsity. Then, the clearity image will be segmented into focus regions. After that, the focus regions and non-focus regions are fused respectively based on different fusion algorithms. Finally, the focus regions and non-focus regions are combined to get the enhanced image. The experiments in the end show that the fusion method we proposed in this paper has higher information entropy, correlation entropy, standard deviation, and average gradient, so it can enhance the underwater multi-focus image and can be applied to the underwater object detection.
Keywords: Sparse matrix, underwater multi-focus image, fusion, region segment
