Multi-focus image fusion based on salient edge information within adaptive focus-measuring windows

Abstract

In this paper, we propose a new fusion scheme for multi-focus images based on some special edge information called discriminative edge points. A new focus measure is also proposed in this paper to identify which pixels in the source images will be included in the resultant image by evaluating the sum of neighborhood energy of the discriminative edge points within an adaptive focus-measuring window whose center is the location of the pixel under current consideration. Experimental results show that our fusion scheme outperforms other methods in the literature.

Denoising of Medical Images Using Image Fusion Techniques

“…Notice that this visual to edge information association is supported by Human Visual System studies and is extensively used in image analysis and compression systems [24,26]. The amount of edge information that is transferred from input images to the fused image can be obtained as ( ) …”

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“…Mutual Information measure here describes the similarity of the image intensity distributions of the corresponding image pair [14] [16]. …”

“…The visual to edge information association is well supported by HVS (Human Visual System) studies and is frequently used in compression systems and image analysis [14][15] [16].…”