Block-matching 3D transform based multi-focus image fusion

Feng Zhu; Yingkun Hou; Minxian Li; Jingyu Yang

doi:10.1117/12.2178752

4 March 2015 Block-matching 3D transform based multi-focus image fusion

Feng Zhu, Yingkun Hou, Minxian Li, Jingyu Yang

Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 944318 (2015) https://doi.org/10.1117/12.2178752
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

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.

Citation Download Citation

Feng Zhu, Yingkun Hou, Minxian Li, and Jingyu Yang "Block-matching 3D transform based multi-focus image fusion", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944318 (4 March 2015); https://doi.org/10.1117/12.2178752

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