研究目的
To present a novel unified image fusion framework based on an application-adaptive importance measure that can select the important area irrespective of the input image type without manually designing the algorithm for each application.
研究成果
The proposed unified image fusion framework based on an application-adaptive importance measure is effective for various applications, demonstrating the ability to generate fused images that preserve the appearance of the important areas of the input images.
研究不足
The proposed method is sensitive to misalignment between input images, which can generate artifacts.
