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Summary: Abstract
Multifocus fusion is the process of fusing focal
information from a set of input images into one all-in-
focus image. Here, a versatile multifocus fusion algorithm
is presented for application-independent fusion. A focally
connected region is a region or a set of regions in an input
image that falls under the depth of field of the imaging
system. Such regions are segmented adaptively under the
predicate of focal connectivity and fused by partition
synthesis. The fused image has information from all focal
planes, while maintaining the visual verisimilitude of the
scene. In order to validate the fusion performance of our
method, we have compared our results with those of tiling
and multiscale fusion techniques. In addition to
performing a seamless fusion of the focally connected
regions, our method out performs the competing methods
regarding overall sharpness in all our experiments.
Several illustrative examples of multifocus fusion are
shown and objective comparisons are provided.
1. Introduction
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