Multi-focus image fusion based on multi-level and iterative method

A new image fusion method for multi-focus image is presented based on multi-level sub-block and iterative method. In order to simulate the system of re-imaging, multi-focus images are convolved with Gaussian functions. Source images and re-imaging images are partitioned into multi-level sub-blocks by different sizes. The gray deviation of the average between source images and re-images is used to judge whether the block is focused. The subjection of image blocks are judged by the principle of consistency. Images are divided into three regions: clear region, fuzzy region and border region, based on iteration method. Finally, the clear regions are merged into the fused image. Experimental results show that the proposed method provides superior performance over conventional fusion methods in improving the quality of fused images.