A scheme for edge-based multi-focus Color image fusion
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A scheme for edge-based multi-focus color image fusion Manali Roy1
· Susanta Mukhopadhyay1
Received: 23 March 2019 / Revised: 15 April 2020 / Accepted: 27 May 2020 / © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In this paper, a novel region-based multi-focus color image fusion method is proposed, which employs the focused edges extracted from the source images to obtain a fused image with better focus. At first, the edges are obtained from the source images, using two suitable edge operators (Zero-cross and Canny). Then, a block-wise region comparison is performed to extract out the focused edges which have been morphologically dilated, followed by the selection of the largest component to remove isolated points. Any discontinuity in the detected edges is removed by consulting with the edge detection output from the Canny edge operator. The best reconstructed edge image is chosen, which is later converted into a focused region. Finally, the fused image is constructed by selecting pixels from the source images with the help of a prescribed color decision map. The proposed method has been implemented and tested on a set of real 2-D multi-focus image pairs (both gray-scale and color). The algorithm has a competitive performance with respect to the recent fusion methods in terms of subjective and objective evaluation. Keywords Multi-focus fusion · Canny edge operator · Morphological dilation · Morphological edge reconstruction · Euler number · Decision map
1 Introduction The motivation for the study and research of multi-focus image fusion is to provide a practical approach to solve the problem of adaptive focusing ability of an imaging device. Normal imaging devices generally contain converging (convex) lenses, which captures a bundle of light rays originating from a specific point on the object and converges them to a single point in the focal plane. Such lenses are unable to produce a homogeneous focused capture of an object or scene due to its limited range of focus or Depth of Field (DoF). In optics, Manali Roy
[email protected] Susanta Mukhopadhyay [email protected] 1
Department of Computer Science and Engineering, Indian Institute of Technology (ISM), Dhanbad, India
Multimedia Tools and Applications
the range of focus is defined as the distance between the nearest and the farthest objects in a scene that appears to be acceptably sharp in an image. Objects lying within the focal range appear to be more sharp and clear compared to the objects which are away from it. Focused capture of a scene comprises of more feature details and spatial information such as edges, color, contour, texture, intensity. So, it is a necessary task to achieve uniform focus throughout the image for better human understanding and machine perception. This can be achieved by a multi-focus fusion algorithm which takes one or more input images with different levels of focus to produce a more interpretive all-in-focus image. The focussed image can be utilized in solving many image processing p
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