Advanced splitting-integrating methods with high convergence rates for restoring images and patterns

DOI10.1007/BF01578385zbMath0926.68129MaRDI QIDQ1891297

Yanyan Li

Publication date: 30 May 1995

Published in: Journal of Scientific Computing (Search for Journal in Brave)

zbMATH Keywords

convergencenumerical experimentserror boundsdigital imageinverse transformationimage transformationsplitting-integrating methoddigitial patternpixel greyness

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)

Related Items (2)

High convergence rates of digital image transformation by numerical integration using spline functions ⋮ Probabilistic analysis on the splitting-shooting method for image transformations

Cites Work

• Quadratic interpolatory splines
• Optimal error bounds for cubic spline interpolation
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