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Proceedings Paper

Method for image interpolation based on a novel multirate filter bank structure and properties of the human visual system
Author(s): Roberto H. Bamberger
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Paper Abstract

Image interpolation systems are used to render a high resolution version of an image from a lower resolution representation. Conventional interpolation systems such as bilinear interpolation and nearest neighbor interpolation often perform poorly (in a subjective sense) when acting on a spatial region of an image which has an oriented structure such as an edge, line, or corner. Recently, systems based on directional interpolation have been presented which yield improved performance on these oriented structures. However, separate models are used for the detection of edges, lines, and corners. In this work, we combine simple building blocks (a Sobel edge detector, directional interpolation, and the directional filter bank) to form a system which exploits the orientational tuning and the spatial-frequency variant sensitivity of the human visual system. The new system handles all of the oriented features in the same manner. First, the image to be processed is split into its directional components. These directional components are then individually interpolated using the directional interpolation system. Since orthogonal (or nearly orthogonal components) are contained in different directional components, corners do not exist in the directional components. Furthermore, since the directional filter bank is an exactly reconstructing structure, the representation of the image in terms of its directional components is complete and thereby an invertible decomposition. In the absence of an oriented component, the directional interpolation system reverts to bilinear interpolation (though any other interpolant could be used).

Paper Details

Date Published: 19 May 1992
PDF: 12 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58341
Show Author Affiliations
Roberto H. Bamberger, Washington State Univ. (United States)

Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)

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