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This paper presents a new method for multifocus image fusion. We formulate the problem as an optimization framework with three terms to model common visual artifacts. A reconstruction error term is used to remove the boundary seam artifacts, and an out-of-focus energy term is used to remove the ringing artifacts. Together with an additional smoothness term, these three terms define the objective function...
Graph Laplacian based framework is a powerful image modeling technology. In this paper, we present a new graph-based method. The key idea is to perform manifold regularization on data graph via local kernel regression. The graph Laplacian nature of our method is theoretically illustrated. Furthermore, based on the proposed framework, we apply our method to several image editing tasks, including remote...
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