Simulation of constant size multiresolution representations on image pyramids

An image pyramid is a hierarcy of representations of the input derived by recursive smoothing and decimation. Image pyramids are built in log(image_size) time with the consecutive levels having their size and resolution reduced by a constant factor. Similar structures with the representations decreasing only in resolution but not in size are also of interest. We simulate such constant size multiresolution representations of the input on image pyramids by increasing the number of values stored in the cells of the host structure. Constant size representations allow parallel processing in applications such as scale-space filtering and multiresolution edge detection.