Image interpolation using median characteristics and spatial information

Jin, Lianghai; Cai-quan, Xiong; Yao, Xingzhong; Li, Dehua

doi:10.1117/12.750967

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Select Interpolation Methods Of the Last Ten Years Energ1

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2010

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“…By combining the median characteristics of the neighboring pixels around the interpolation points and their spatial information, a new image interpolation algorithm is introduced in [16]. The proposed interpolator first utilizes both the aggregated gray differences and the spatial distances to compute the weights associated with the neighboring pixels and then employs a data-adaptive filter to estimate the interpolated pixels.…”

Section: Select Interpolation Methods Of the Last Ten Years Energmentioning

confidence: 99%

Interpolation approaches and spline based resampling for MR images

Göçeri

Lomenie²

2010

2010 5th International Symposium on Health Informatics and Bioinformatics

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2D or 3D dataset transformations, interpolations and resampling operations are essential techniques that are able to display graphical models in several fields such as medical visualization and engineering. In this study, an overview of interpolation approaches of the last ten years was given and a resampling application for magnetic resonance images was implemented using free form cubic b-spline deformation model based transformed images. In addition, the registration error was shown as a grid view for the 2D nonrigid registration.

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Section: Select Interpolation Methods Of the Last Ten Years Energmentioning

confidence: 99%