Real-time VLSI architecture for geometric image transformations
Min Zhao, Jean Gobert, Olivier Schirvanian, Nicolas Demassieux · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
Many applications in image processing, such as digitized angiography and scan conversion in medical imaging, sensor distorsion correction or image registration, require real time geometric transformations. Therefore, the Laboratoires d’Electronique Philips (LEP) and TELECOM Paris University are currently developing a chip performing in real-time a large class of geometric image transformations with third degree polynomials. We present here the VLSI architecture of this chip. The different problems associated with real-time image processing are discussed and some new architectural concepts, local memories combined with incremental calculation on a block and processing by patches, are used to overcome these problems. The chip operates on frame sizes of up to 1024x1024 pixels with a spatial resolution of 1/16 pixel at a maximum rate of 30 images per second.