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Cited by 1,020

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

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

Lei Zhang, Xiaolin Wu·2006·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.

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Crossref · 10.1109/tip.2006.877407

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Metadata

Authors
Zhang, L., & Wu, X.
Venue
IEEE Transactions on Image Processing
Published
2006-08
Volume
15
Issue
8
Pages
2226-2238
ISSN
1057-7149 (ISSN-L)
OpenAlex
W2157190232
Cited by
1,020
References
12
FWCI
16.47
Type
journal article
Language
en
Open access
closed

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