Titlebook: VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design; 20th IFIP WG 10.5/IE Andreas Burg,Ay?e Co?kun,Ricardo Reis Conference proc

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1868-4238 cements bringing about stimulating new challenges both at the physical and system-design levels, as well as in the test of these systems.978-3-662-52529-6978-3-642-45073-0Series ISSN 1868-4238 Series E-ISSN 1868-422X

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Spatially-Varying Image Warping: Evaluations and VLSI Implementations,perations, and memory bandwidth requirements are considered. Further, we provide an architecture based on Gaussian filtering and an architecture with bicubic interpolation and compare corresponding VLSI implementations.

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Trinocular Stereo Vision Using a Multi Level Hierarchical Classification Structure,se segmented window matching for both the center-right and center-left image pairs as their scaled down image pairs is performed. The resulting cost functions are combined which results into nine different cost curves. A multi level hierarchical classifier is used to select the most promising dispar

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Spatially-Varying Image Warping: Evaluations and VLSI Implementations,o retargeting or stereo remapping/stereo-to-multiview conversion. In contrast to the more common global image warping, e.g., zoom or rotation, the image transformation is now a spatially-varying mapping that, in principle, enables arbitrary image transformations. A practical constraint is that trans

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An Ultra-Low-Power Application-Specific Processor with Sub-VT Memories for Compressed Sensing,S data compression can be done both in the analog- and digital domain, digital implementations are often used on low-power sensor nodes, where an ultra-low-power (ULP) processor carries out the algorithm on Nyquist-rate sampled data. In such systems an energy-efficient implementation of the CS compr

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