Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20063
Title: An edge-guided image interpolation algorithm via directional filtering and data fusion
Authors: Zhang, L 
Wu, X
Issue Date: 2006
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on image processing, 2006, v. 15, no. 8, p. 2226-2238 How to cite?
Journal: IEEE transactions on image processing 
Abstract: 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 observation sets are defined in two orthogonal directions, and each set produces an estimate of the pixel value. These directional estimates, modeled as different noisy measurements of the missing pixel are fused by the linear minimum mean square-error estimation (LMMSE) technique into a more robust estimate, using the statistics of the two observation sets. We also present a simplified version of the LMMSE-based interpolation algorithm to reduce computational cost without sacrificing much the interpolation performance. Experiments show that the new interpolation techniques can preserve edge sharpness and reduce ringing artifacts
URI: http://hdl.handle.net/10397/20063
ISSN: 1057-7149
EISSN: 1941-0042
DOI: 10.1109/TIP.2006.877407
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