caa a22 4500 46903615X CHVBK 20180323132756.0 cr unu---uuuuu 170328e19920901xx s 000 0 eng 10.1007/BF00055150 doi (NATIONALLICENCE)springer-10.1007/BF00055150 A VLSI pyramid chip for multiresolution image analysis [Elektronische Daten] [Gooitzen Van der Wal, Peter Burt] Advanced techniques in image processing and computer vision increasingly require that image data be represented at multiple resolutions and at multiple sample rates. Application areas for such pyramid image representations include image compression, image enhancement, motion analysis, and object recognition. We have developed a VLSI chip, called PYR, to perform the standard filter and resampling operations required in pyramid and inverse pyramid transforms for these applications. The PYR chip processes image samples sequentially, in raster scan format, so is suited for pipeline architectures. The user can choose from a set of standard filters, through software control, to construct Gaussian, Laplacian, Subband, and related pyramid structures. A unique feature of the design is that it includes timing signals that are passed with the image data. These signals coordinate successive processing steps in a pipeline system as image sizes and sample rates change. The chip also includes circuits for edge extension and image addition, and it can be run in "spread tap” mode to provide twice the standard sample density. The PYR chip is implemented in standard cell technology. At a clock rate of 15 MHz, a single chip can simultaneously construct a Gaussian and a Laplacian pyramid from a 512 by 480 image in 22.7 msec (44 frame/second). Kluwer Academic Publishers, 1992 Van der Wal Gooitzen David Sarnoff Research Center, Inc. Subsidiary of SRI International, 08543-5300, Princeton, NJ aut Burt Peter David Sarnoff Research Center, Inc. Subsidiary of SRI International, 08543-5300, Princeton, NJ aut International Journal of Computer Vision Kluwer Academic Publishers 8/3(1992-09-01), 177-189 0920-5691 8:3<177 1992 8 11263 https://doi.org/10.1007/BF00055150 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00055150 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Van der Wal Gooitzen David Sarnoff Research Center, Inc. Subsidiary of SRI International, 08543-5300, Princeton, NJ aut NATIONALLICENCE 700 1- Burt Peter David Sarnoff Research Center, Inc. Subsidiary of SRI International, 08543-5300, Princeton, NJ aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 8/3(1992-09-01), 177-189 0920-5691 8:3<177 1992 8 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer