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The 2D orthogonal wavelet transform is proving to be a highly effective tool for image analysis. In particular, the four-coefficient Daubechies wavelet transform has excellent spatial and spectral locality, properties which make it very useful in image compression. A VLSI architecture suitable for 2D orthogonal wavelet transforms is presented, which for the Daubechies wavelet implements the forward and inverse transforms without multipliers. A sample implementation is described.