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Published in:
2013 | OriginalPaper | Chapter
Spatially-Varying Image Warping: Evaluations and VLSI Implementations
Authors : Pierre Greisen, Michael Schaffner, Danny Luu, Val Mikos, Simon Heinzle, Frank K. Gürkaynak, Aljoscha Smolic
Published in: VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design
Publisher: Springer Berlin Heidelberg
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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.