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A concept called multiscale structure tensor is introduced, as an extension of the single-scale structure tensor. It is based on a redundant dyadic wavelet transform, and allows for accumulating multiscale gradient information of local regions. In this way, the technique has averaging properties, while preserving edge structures. We show how to make advantage of this for image enhancement and denoising purposes.