DocumentCode :
2035966
Title :
Multifocus Image Fusion by Establishing Focal Connectivity
Author :
Hariharan, H. ; Koschan, A. ; Abidi, M.
Author_Institution :
Tennessee Univ., Knoxville
Volume :
3
fYear :
2007
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
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 method are shown. Comparisons against existing methods are made and the results are discussed.
Keywords :
image fusion; image segmentation; establishing focal connectivity; image mosaicing; image partitioning; image segmentation; multifocus image fusion; sharpness maps; Cameras; Clocks; Focusing; Fuses; Image fusion; Image segmentation; Intelligent robots; Layout; Learning systems; Microscopy; Depth of focus; focal connectivity; image fusion; image partitioning; multifocus fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4379311
Filename :
4379311
Link To Document :
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