Multi-focus image fusion using ratio of blurred and original image intensities

This paper deals with a new multi-focus image fusion algorithm, which is on the basis of the Ratio of Blurred and Original Image Intensities. The definition of sharpness based on the sum of square of gray-level gradient vector magnitude is chosen. By analyzing the imaging model of a geometry optical system and the effect of PSF (point spread function, PSF), a simulated second imaging model of an optical system is proposed. After the second imaging, the clear object in an image will be blurred and the blurry object will be more blur-red. The clear object is decided by the comparison of the difference in sharpness of each pixel, between the two different focus images and their second imaging images. In this case, the clear objects of each original image are decided automatically, and then all of them are merged into a new clear image. Experiments show that the proposed algorithm works better in preserving edge and texture information than the other image fusion methods mentioned in multi-focus image fusion do.