Novel multi-focus image fusion based on PCNN and random walks

作者：Wang, Zhaobin^*; Wang, Shuai; Guo, Lijie

来源：Neural Computing & Applications, 2018, 29(11): 1101-1114.

DOI：10.1007/s00521-016-2633-9

• Image fusion
• PCNN
• Random walks
• Fusion rule

The purpose of multi-focus image fusion is to acquire an image where all the objects are focused by fusing the source images which have different focus points. A novel multi-focus image fusion method is proposed in this paper, which is based on PCNN and random walks. PCNN is consistent with people's visual perception. And the random walks model has been proven to have enormous potential to fuse image in recent years. The proposed method first employs PCNN to measure the sharpness of source images. Then, an original fusion map is constructed. Next, the method of random walks is employed to improve the accuracy of the fused regions detection. Finally, the fused image is generated according to the probability computed by random walks. The experiments demonstrate that our method outperforms many existing methods of multi-focus image fusion in visual perception and objective criteria. To assess the performance of our method in practical application, some examples are given at the end of paper.

• 出版日期2018-6
• 单位中国科学院; 兰州大学