An Application of the Least Squares Plane Fitting Interpolation Process to Image Reconstruction and Enhancement
نویسنده
چکیده
This work applies a least squares plane fitting (LSP) method as an alternative way of interpolating irregularly spaced pixel intensity values that are suitable for image reconstruction of a static scene via super-resolution (SR). SR is a term used within the computer vision and image processing community to describe the process of reconstructing a high resolution image from a sequence of several shifted images covering the same scene.
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