Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation

The challenge of image interpolation is to preserve spatial details. We propose a soft-decision interpolation technique that estimates missing pixels in groups rather than one at a time. The new technique learns and adapts to varying scene structures using a 2-D piecewise autoregressive model. The m...

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Veröffentlicht in:	IEEE transactions on image processing 2008-06, Vol.17 (6), p.887-896
Hauptverfasser:	Zhang, Xiangjun, Wu, Xiaolin
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive filters Algorithms Application software Applied sciences Autoregressive process Computer Simulation Decision Support Techniques Detection, estimation, filtering, equalization, prediction Digital cameras Equivalence Exact sciences and technology Image edge detection Image Enhancement - methods image interpolation Image Interpretation, Computer-Assisted - methods image modeling Image processing Information Storage and Retrieval - methods Information, signal and communications theory Interpolation Layout Mathematical models Models, Biological Models, Statistical Numerical Analysis, Computer-Assisted optimization Parameter estimation Pixel Pixels Preserves Regression Analysis Reproducibility of Results Sensitivity and Specificity Signal and communications theory Signal processing Signal Processing, Computer-Assisted Signal, noise soft decision estimation Spatial coherence Spatial resolution Surface layer Telecommunications and information theory Texture
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