This paper proposes a new approach called region mosaicing on contrast pyramids for multi-focus image fusion. A density-based region growing is developed to construct a focused region mask for multi-focus images. The segmented focused region mask is decomposed into a mask pyramid, which is then used for supervised region mosaicing on a contrast pyramid. In this way, the focus measurement and the continuity of focused regions are incorporated and the pixel level pyramid fusion is improved at the region level. Objective and subjective experiments show that the proposed region mosaicing on contrast pyramids approach is more robust to noise and can fully preserves the focus information of the multi-focus images, reducing distortions of the fused images.
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