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Proceedings Paper

Block-matching 3D transform based multi-focus image fusion
Author(s): Feng Zhu; Yingkun Hou; Minxian Li; Jingyu Yang
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Paper Abstract

Block matching 3-D transform (BM3D) is an excellent image denoising algorithm, the success of this algorithm is that it makes full use of the image self-similarity. Profiting from the superior performance of the BM3D, this paper propose a multi-focus image fusion algorithm. A pair of the original images are both implemented BM3D respectively, averaging their low frequency coefficients can get the low frequency coefficient of the result image, the bigger high frequency coefficient in these two transforms is chosen as the high frequency coefficient of the result image; Implementing inverse 3-D transformation can obtain the fused image. Experimental results show that the proposed algorithm is better than the existing multi-focus image fusion algorithms on both the subjective visual and the objective evaluation.

Paper Details

Date Published: 4 March 2015
PDF: 5 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944318 (4 March 2015); doi: 10.1117/12.2178752
Show Author Affiliations
Feng Zhu, Nanjing Univ. of Science and Technology (China)
Yingkun Hou, Taishan Univ. (China)
Minxian Li, Nanjing Univ. of Science and Technology (China)
Jingyu Yang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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