Limited depth of eld is an important problem in microscopy imaging. 3D objects are often thicker than the depth of eld of the microscope, which means that it is optically impossible to make one single sharp image of them. Instead, different images in which each time a different area of the object is in focus have to be fused together. In this work, we propose a curvelet-based image fusion method that is frequency-adaptive. Because of the high directional sensitivity of the curvelet transform

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... d consequentially, its extreme sparseness), the average performance gain of the new method over state-of-the-art methods is high. Index Termsimage restoration, image analysis, microscopy, focusing, wavelet transforms * L.T. is supported as a research assistant of FWO Flanders. † A.P. is supported as a postdoctoral research fellow of FWO Flanders.