Summary: MULTIFOCUS IMAGE FUSION BY ESTABLISHING FOCAL CONNECTIVITY
H. Hariharan, A. Koschan and M. Abidi
Imaging Robotics and Intelligent Systems Laboratory, ECE Department,
University of Tennessee, Knoxville -37996.
Multifocus fusion is the process of unifying focal
information from a set of input images acquired with limited
depth of field. In this effort, we present a general purpose
multifocus fusion algorithm, which can be applied to varied
applications ranging from microscopic to long range scenes.
The main contribution in this paper is the segmentation of
the input images into partitions based on focal connectivity.
Focal connectivity is established by isolating regions in an
input image that fall on the same focal plane. Our method
uses focal connectivity and does not rely on physical
properties like edges directly for segmentation. Our method
establishes sharpness maps to the input images, which are
used to isolate and attribute image partitions to input images.
The partitions are mosaiced seamlessly to form the fused
image. Illustrative examples of multifocus fusion using our