Abstract
Considering the continuous advancement in the field of imaging sensor, a host of other new issues have emerged. A major problem is how to find focus areas more accurately for multi-focus image fusion. The multi-focus image fusion extracts the focused information from the source images to construct a global in-focus image which includes more information than any of the source images. In this paper, a novel multi-focus image fusion based on Laplacian operator and region optimization is proposed. The evaluation of image saliency based on Laplacian operator can easily distinguish the focus region and out of focus region. And the decision map obtained by Laplacian operator processing has less the residual information than other methods. For getting precise decision map, focus area and edge optimization based on regional connectivity and edge detection have been taken. Finally, the original images are fused through the decision map. Experimental results indicate that the proposed algorithm outperforms the other series of algorithms in terms of both subjective and objective evaluations.
Highlights
Image fusion is one of the most important techniques used to extract and integrate as much information as possible for image analysis, such as surveillance, target tracking, target detection and face recognition [1] [2]
A novel multi-focus image fusion based on Laplacian operator and region optimization is proposed
For getting precise decision map, focus area and edge optimization based on regional connectivity and edge detection have been taken
Summary
Image fusion is one of the most important techniques used to extract and integrate as much information as possible for image analysis, such as surveillance, target tracking, target detection and face recognition [1] [2]. Many multi-focus image fusion algorithms have been proposed. In multi-focus image fusion algorithm and the image fusion field, they are considered by researchers. The method based on spatial domain mainly deals with the image fusion according to the spatial feature information of image pixels [6]. As a single pixel cannot represent the image space feature information, the block method is generally used This method has a better effect on the area rich image. In addition to the above several spatial domain fusion algorithms, many scholars have proposed the fusion method based on the focus region detection in recent years. In order to solve these problems, new multi-focus image fusion method, a spatial domain method, have been proposed based on Laplacian operator and region optimization. The multi-focus image fusion is finished by using the final decision map
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