2002 · 71 citations · 4 references
EngineeringSparse ImagingSuper-resolution ImagingDeblurringImage AnalysisComputational ImagingComputational PhotographyComputational GeometryApproximation TheoryMachine VisionSelective InterpolationInverse ProblemsInitial Magnified ImageAdaptive Image MagnificationSpatial FilteringImage EnhancementComputer VisionMagnified ImageImage RestorationImage Resolution
We tackle the problem of magnifying an image without incurring blurring, ringing or other artifacts common to classical schemes. The proposed iterative scheme starts with an initial magnified image generated by a process of selective interpolation. By placing suitable constraints on the final magnified image, which are convex in nature, we show that magnification can be posed as a problem of finding a solution which lies at the intersection of convex sets. By avoiding explicit high frequency enhancing assumptions in the iterative process, we avoid edge enhancement artifacts in the magnified image.
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Jan P. Allebach, Ping Wah Wong · 2002 · 404 citations
Geometric Modeling, Correction Phase, Bilinear Interpolation +13