Electronics Optics & Control, Volume. 26, Issue 10, 49(2019)
Improving Multi-focus Image Fusion Algorithm with Finite Discrete Shearlet Domain
To get a more accurate fusion image with richer informationthe Finite Discrete Shearlet Transform (FDST) is used to improve the multi-focus image fusion algorithm.The perfect translation invariance of FDST and its high efficiency of decomposition and reconstruction are used to obtain the coefficient of high- and low- frequency sub-band by multi-scale and multi-direction decomposition.The fusion method of adaptive weighting used together with regional standard deviation matching is used for the high frequencyand the non-negative matrix factorization of improved gradient projection is used for the low frequencythen the high- and low-frequency sub-bands after fusion are obtained respectively.At lastthe fusion image is reconstructed by FDST inverse transform.The experiments on multi-focus image show thatwith the improved methodthe fusion image is more distinct in subjective visionhas better objective indexes with shorter running time.The fusion result not only retains the rich and effective information of the source imagebut also has a good effect.
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LIU Zhan-wei, LI Hua, ZHAO Zhi-kai. Improving Multi-focus Image Fusion Algorithm with Finite Discrete Shearlet Domain[J]. Electronics Optics & Control, 2019, 26(10): 49
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Received: Dec. 28, 2018
Accepted: --
Published Online: Nov. 5, 2019
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