Abstract
In this paper, we propose a simple but effective sharpness prior—inner channel prior—to detect the focused area of multi-focus images. The inner channel prior is a kind of location feature of natural image sharpness. It is based on a key observation—the high-frequency information of the saturation channel is located inside the object. The inner channel prior indicates the focus degree inside objects, which can obtain better color fidelity and sharper object. Using the proposed prior combined with the multi-scale image fusion, we can directly obtain a sharp image with an extended depth of field focusing on all the objects. Results on a variety of defocused image sequences demonstrate the availability of the proposed prior. In addition, the proposed prior is insensitive to overexposure and can better maintain the color of multi-focus images.
Highlights
I T is challenging to obtain an image in which all the captured objects are focused, for the finite depth of field (DOF) of photographic lens
Image fusion is highly desired in computational photography and computer vision applications, such as remote sensing [1], medical diagnosis [2], [3], micro-image fusion [4],biochemical analysis [5], image dehazing [6], [7] and microscopy [8]
We have proposed a very simple but effective prior, called inner channel prior, for multi-focus image fusion
Summary
I T is challenging to obtain an image in which all the captured objects are focused, for the finite depth of field (DOF) of photographic lens. Sun et al [13] utilize the region-level method, Laplacian pyramids, to fuse multi-focus images, obtaining a sharp image with more original information than the method at pixel level. The high spatial frequency information of value channel, which mainly appears at the edge of the object, is used to deal with the blurry edge of multi-focus images. Spatial domain algorithm can be time-efficient but sensitive to noise It tends to have fixed limitations, such as image blurring and spatial distortion [22], which would lead to the artifacts in the fused image. Despite the great advancement achieved in recent years, there are still several major issues in the area of multi-focus image fusion [12], [20], such as defocus effects, color distortion and process efficiency. The saturation of object color varies inside the object, the high spatial frequency information of the saturation channel mainly locates inside the object (Fig. 3(b)), whereas the high spatial frequency information of the value channel primarily appears at the edge of the object (Fig. 3(c))
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