Directional variation adaptive image resolution enhancement

The goal of image interpolation is to produce a high-resolution image from its low-resolution counterpart. It has significant applications in video sensor network, where the resolution of images usually needs to be enhanced at the end user due to the limited transmission bandwidth. The key challenge...

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Bibliographic Details
Published in:Optics communications 2012-04, Vol.285 (7), p.1692-1696
Main Authors: Shi, Jinglun, Shan, Zhilong
Format: Article
Language:English
Subjects:
Algorithms
End users
Image interpolation
Image reconstruction
Image resolution
Image resolution enhancement
Interpolation
Networks
Pixels
Preserves
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Summary:The goal of image interpolation is to produce a high-resolution image from its low-resolution counterpart. It has significant applications in video sensor network, where the resolution of images usually needs to be enhanced at the end user due to the limited transmission bandwidth. The key challenge of image interpolation is to preserve the edge structure of the image. In this paper, a new image interpolation approach is proposed to adaptively adjust the interpolation according to the directional variations of images. More specifically, at each pixel position to be interpolated, its neighboring pixels are projected onto 1D direction according to a number of proposed patterns. Then the direction, of which the variation is smallest, is chosen as the direction to perform image interpolation. Experimental results are provided to show that the proposed approach outperforms several conventional edge-directed image interpolation algorithms.
ISSN:0030-4018
1873-0310
DOI:10.1016/j.optcom.2011.12.021