Multi-Focus Image Fusion Using Local Energy Pattern

Abstract:

For general image capture device, it is difficult to obtain an image with every object in focus. To solve the fusion issue of multiple same view point images with different focal settings, a novel image fusion algorithm based on local energy pattern (LGP) is proposed in this paper. Firstly, each focus images is decomposed using discrete wavelet transform (DWT) separately. Secondly, to calculate LGP with the corresponding pixel and its surrounding pixels, then use LGP to compute the new coefficient of the pixel from each transformed images with our proposed weighted fusing rules. The rules use different operations in low-bands coefficients and high-bands coefficients. Finally, the generated image is reconstructed from the new subband coefficients. Moreover, the reconstructed image can represent more detailed for the obtained scene. Experimental results demonstrate that our scheme performs better than the traditional discrete cosine transform (DCT) and discrete wavelet transform (DWT) method in both visual perception and quantitative analysis.

• Periodical: Applied Mechanics and Materials (Volume 145)
• Pages: 119-123
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.145.119
• Online since: December 2011
• Authors: Ko Chin Chang
• Keywords: Discrete Wavelet Transform (DWT), Local Energy Pattern, Multi-Focus Image Fusion

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