An edge-guided image interpolation algorithm via directional filtering and data fusion

Preserving edge structures is a challenge to image interpolation algorithms that reconstruct a high-resolution image from a low-resolution counterpart. We propose a new edge-guided nonlinear interpolation technique through directional filtering and data fusion. For a pixel to be interpolated, two ob...

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Veröffentlicht in:	IEEE transactions on image processing 2006-08, Vol.15 (8), p.2226-2238
Hauptverfasser:	Zhang, Lei, Wu, Xiaolin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial Intelligence Computer Simulation Data fusion Data integration Detection, estimation, filtering, equalization, prediction Digital images edge preservation Estimates Exact sciences and technology Filtering Filtering algorithms Filtration Image edge detection Image Enhancement - methods image interpolation Image Interpretation, Computer-Assisted - methods Image processing Image reconstruction Image resolution Information Storage and Retrieval - methods Information theory Information, signal and communications theory Interpolation Laplace equations Least-Squares Analysis linear minimum mean square-error estimation (LMMSE) Linear Models Numerical Analysis, Computer-Assisted Pattern Recognition, Automated - methods Pixels Robustness Signal and communications theory Signal processing Signal Processing, Computer-Assisted Signal resolution Signal, noise Statistics Subtraction Technique Telecommunications and information theory
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