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Extending Depth of Field by Intrinsic Mode Image Fusion Harishwaran Hariharan, Andreas Koschan, and Mongi Abidi
 

Summary: Extending Depth of Field by Intrinsic Mode Image Fusion
Harishwaran Hariharan, Andreas Koschan, and Mongi Abidi
Imaging, Robotics and Intelligent Systems Laboratory
University of Tennessee, Knoxville, TN-37996
hari@utk.edu
Abstract
Here, a versatile data-driven application
independent method to extend the depth of field is
presented. The principal contribution in this effort is
the use of features extracted by Empirical Mode
Decomposition, namely Intrinsic Mode Images, for
fusion. The input images are decomposed into intrinsic
mode images and fusion is performed on the extracted
oscillatory modes, by means of weighing schemes that
allow emphasis of focused regions in each input image.
The fused image unifies information from all focal
planes, while maintaining the verisimilitude of the
scene. In order to validate the fusion performance of
our method, we have compared our results with those
of region-based and multiscale decomposition based

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee
Koschan, Andreas - Imaging, Robotics, and Intelligent Systems, University of Tennessee

 

Collections: Computer Technologies and Information Sciences; Engineering