一种抗噪声的高效多聚焦图像融合算法

doi:10.3969/j.issn.1001-2400.2011.03.011

Abstract

Abstract:

In view of the more real-time requirements of the image processing algorithm for ordinary optics and the particularity of noise condition, this paper proposes an antinoise algorithm for image fusion, which is based on Laplacian pyramid decomposition and pseudo inverse. For the algorithm, orthogonal wavelets are used for image decomposition and the pyramid data structure, and at the reconstruction stage, a pseudo inverse is used. The new algorithm can restrain the additive noise and system noise from thresholding and quantization process of compression, and it is of lower complexity. Experimental results show that the new algorithm can obtain a better effect than the method based on the usual Laplacian pyramid transform for the multi-focus image fusion, and has antinoise properties.

Key words: image fusion, Laplacian pyramid, pseudo inverse, antinoise properties

YAN Chunman；GUO Baolong；YANG Xiuhong. High efficiency algorithm with antinoise properties for multi-focus image fusion[J].J4, 2011, 38(3): 63-68.

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High efficiency algorithm with antinoise properties for multi-focus image fusion

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