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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 405919, 7 pages
http://dx.doi.org/10.1155/2015/405919
Research Article

Block-Matching Based Multifocus Image Fusion

1School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
2School of Information Science and Technology, Taishan University, Tai’an, Shandong 271021, China

Received 12 November 2014; Revised 18 March 2015; Accepted 7 April 2015

Academic Editor: Tarak Ben Zineb

Copyright © 2015 Feng Zhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A new multifocus image fusion method is proposed. Two image blocks are selected by sliding the window from the two source images at the same position, discrete cosine transform (DCT) is implemented, respectively, on these two blocks, and the alternating component (AC) energy of these blocks is then calculated to decide which is the well-focused one. In addition, block matching is used to determine a group of image blocks that are all similar to the well-focused reference block. Finally, all the blocks are returned to their original positions through weighted average. The weight is decided with the AC energy of the well-focused block. Experimental results demonstrate that, unlike other spatial methods, the proposed method effectively avoids block artifacts. The proposed method also significantly improves the objective evaluation results, which are obtained by some transform domain methods.