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New edge-directed interpolation

Xin Li, Orchard, M.T.·2001·IEEE Transactions on Image Processing

Abstract

This paper proposes an edge-directed interpolation algorithm for natural images. The basic idea is to first estimate local covariance coefficients from a low-resolution image and then use these covariance estimates to adapt the interpolation at a higher resolution based on the geometric duality between the low-resolution covariance and the high-resolution covariance. The edge-directed property of covariance-based adaptation attributes to its capability of tuning the interpolation coefficients to match an arbitrarily oriented step edge. A hybrid approach of switching between bilinear interpolation and covariance-based adaptive interpolation is proposed to reduce the overall computational complexity. Two important applications of the new interpolation algorithm are studied: resolution enhancement of grayscale images and reconstruction of color images from CCD samples. Simulation results demonstrate that our new interpolation algorithm substantially improves the subjective quality of the interpolated images over conventional linear interpolation.

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Metadata

Authors
Li, X., & Orchard, M. T.
Venue
IEEE Transactions on Image Processing
Published
2001
Volume
10
Issue
10
Pages
1521-1527
ISSN
1057-7149 (ISSN-L)
OpenAlex
W2172128189
Cited by
2,023
References
0
FWCI
15.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: New edge-directed interpolation. https://app.cochat.ai/papers/10.1109/83.951537
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Li, X., & Orchard, M. T. (2001). New edge-directed interpolation. IEEE Transactions on Image Processing. https://doi.org/10.1109/83.951537

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