The Steerable Pyramid: Wavelets in Vision and Image Processing
نویسندگان
چکیده
This is a review paper on the steerable pyramid, a linear multiscale, multiorientation image decomposition that finds use in the preprocessing stage of image processing and computer vision applications. Orthogonal separable wavelet transforms, once popular for the same tasks, give rise to heavily aliased representations that do not represent diagonal orientations well. To overcome these limitations, the steerable pyramid was proposed. The steerable pyramid is partly inspired by visual information processing in area V1 of mammalian cortex of the brain, which uses a strategy wherein individual cells respond maximally to a small range of orientations and receptive field (RF) sizes, but the cellular population as a whole has cells responding to all orientations and RF sizes.
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