A general-transformation EWA view rendering engine for 1080p video in 130 nm CMOS

Emler,; Schaffner,; Heinzle,; Gurkaynak,

doi:10.1109/vlsi-soc.2012.6379014

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…It is an extended version of our previous work [8,9]: next to the elliptical weighted average (EWA) rendering system presented in [8,9] we present non-linear image warping through bicubic interpolation and adaptive super-sampling and assess image quality and hardware requirements by comparing an extended set of non-linear warping strategies. An important hardware consideration is thereby the memory bandwidth requirements and the corresponding cache simulations and VLSI designs.…”

Section: Introductionmentioning

confidence: 99%

Spatially-Varying Image Warping: Evaluations and VLSI Implementations

Greisen

Schaffner

Luu

et al. 2013

VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design

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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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Section: Introductionmentioning

confidence: 99%

Spatially-Varying Image Warping: Evaluations and VLSI Implementations

Greisen

Schaffner

Luu

et al. 2013

VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design

Self Cite

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MADmax: A 1080p stereo-to-multiview rendering ASIC in 65 nm CMOS based on image domain warping

Schaffner

Greisen

Heinzle

et al. 2013

2013 Proceedings of the ESSCIRC (ESSCIRC)

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Automatic View Synthesis by Image-Domain-Warping

Stefanoski

Wang

Lang³

et al. 2013

IEEE Trans. on Image Process.

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Today, stereoscopic 3D (S3D) cinema is already mainstream, and almost all new display devices for the home support S3D content. S3D distribution infrastructure to the home is already established partly in the form of 3D Blu-ray discs, video on demand services, or television channels. The necessity to wear glasses is, however, often considered as an obstacle, which hinders broader acceptance of this technology in the home. Multiviewautostereoscopic displays enable a glasses free perception of S3D content for several observers simultaneously, and support head motion parallax in a limited range. To support multiviewautostereoscopic displays in an already established S3D distribution infrastructure, a synthesis of new views from S3D video is needed. In this paper, a view synthesis method based on image-domain-warping (IDW) is presented that automatically synthesizes new views directly from S3D video and functions completely. IDW relies on an automatic and robust estimation of sparse disparities and image saliency information, and enforces target disparities in synthesized images using an image warping framework. Two configurations of the view synthesizer in the scope of a transmission and view synthesis framework are analyzed and evaluated. A transmission and view synthesis system that uses IDW is recently submitted to MPEG's call for proposals on 3D video technology, where it is ranked among the four best performing proposals.

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A general-transformation EWA view rendering engine for 1080p video in 130 nm CMOS

Cited by 3 publications

References 12 publications

Spatially-Varying Image Warping: Evaluations and VLSI Implementations

Spatially-Varying Image Warping: Evaluations and VLSI Implementations

MADmax: A 1080p stereo-to-multiview rendering ASIC in 65 nm CMOS based on image domain warping

Automatic View Synthesis by Image-Domain-Warping

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