Spatially-Varying Image Warping: Evaluations and VLSI Implementations

Abstract : Spatially-varying, non-linear image warping has gained growing interest due to the appearance of image domain warping applications such as aspect ratio 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 transformed pixels keep their relative ordering, i.e., there are no fold-overs. In this work, we analyze and compare spatially-varying image warping techniques in terms of quality and computational performance. In particular, aliasing artifacts, interpolation quality (sharpness), number of arithmetical operations, 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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Communication dans un congrès
Andreas Burg; Ayse Coskun; Matthew Guthaus; Srinivas Katkoori; Ricardo Reis. 20th International Conference on Very Large Scale Integration (VLSI-SoC), Aug 2012, Santa Cruz, CA, United States. Springer, IFIP Advances in Information and Communication Technology, AICT-418, pp.64-87, 2013, VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design. 〈10.1007/978-3-642-45073-0_4〉
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Pierre Greisen, Michael Schaffner, Danny Luu, Val Mikos, Simon Heinzle, et al.. Spatially-Varying Image Warping: Evaluations and VLSI Implementations. Andreas Burg; Ayse Coskun; Matthew Guthaus; Srinivas Katkoori; Ricardo Reis. 20th International Conference on Very Large Scale Integration (VLSI-SoC), Aug 2012, Santa Cruz, CA, United States. Springer, IFIP Advances in Information and Communication Technology, AICT-418, pp.64-87, 2013, VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design. 〈10.1007/978-3-642-45073-0_4〉. 〈hal-01456962〉

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