Multi-focus image fusion is an effective method of information fusion that can take a series of source images and obtain a fused image where everything is in focus. In this paper, a multi-focus image fusion method based on image texture that adopts a modified Pulse-Coupled Neural Network (PCNN) approach is proposed. First, the texture of an image is obtained by means of image cartoon and texture decomposition. An ignition image is then acquired by inputting the image textures into a modified PCNN. Ignition images are compared to each other to obtain an initial decision map. A small object detection and bilateral filter is then applied to the initial decision map to reduce noise and enable smoother processing. Finally, the source images and decision map are used to produce the fused image. Experimental results demonstrate that the proposed method effectively preserves the source images information while delivering good image fusion performance.

多焦点图像融合是一种有效的信息融合方法，可以获取一系列源图像并获得所有焦点都对准的融合图像。提出了一种基于图像纹理的多焦点图像融合方法，该方法采用了改进的脉冲耦合神经网络（PCNN）方法。首先，通过图像卡通和纹理分解获得图像的纹理。然后通过将图像纹理输入到修改的PCNN中来获取点火图像。将点火图像相互比较以获得初始决策图。然后将小物体检测和双边滤波器应用于初始决策图，以减少噪声并实现更平滑的处理。最后，使用源图像和决策图来生成融合图像。