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Multi-focus Image Fusion: Neural Network Approach

机译:多焦点图像融合:神经网络方法

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摘要

When distance of all objects in a scene from the camera lens is not equal, some objects appear clear while others appear blur in a photograph. To have focus on each object in entire photograph, fusion proves to be reasonable solution. Thus different photographs or pictures or images having focused on different objects are mixed together in fusion. In this paper, artificial neural network is used for fusion and all-in-focus image is obtained. Fused image is evaluated using objective parameters which show that the algorithm works effectively.
机译:当场景中所有物体与相机镜头的距离不相等时,某些物体在照片中显得清晰,而另一些物体则显得模糊。为了专注于整个照片中的每个对象,融合被证明是合理的解决方案。因此,将聚焦于不同物体的不同照片或图片或图像融合在一起。本文采用人工神经网络进行融合,获得全聚焦图像。使用客观参数对融合图像进行评估,结果表明该算法有效。

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