Fast Fusion Method for Multi-focus Image Based on Hierarchical Model

Abstract

Abstract: The issue of hierarchical model for multi-focus image fusion was proposed to improve the visual effect and real-time performance. According to the ambiguous zones of source image, the appropriate grid value was selected and the fusion model was proposed. By using fuzzy logic method and threshold segmentation, the gray variance values of the corresponding block were calculated and the hierarchical classification of sub-block was given to achieve the best fusion zones. Based on these, the weighted mean method was proposed to smooth the discontinuity of different block marginal area. These guaranteed the real-time performance of image fusion. The simulation verifies the feasibility and effectiveness of the proposed theoretical results.

Key words: hierarchical model, multi-focus image, fast fusion, variance values

CLC Number:

TH85+5

Wei Lisheng, Zhang Pinggai. Fast Fusion Method for Multi-focus Image Based on Hierarchical Model[J]. Journal of System Simulation, 2016, 28(6): 1372-1379.

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