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Multi-kernel based adaptive interpolation for image super-resolution
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DOI：10.1007/s11042-012-1325-4.png)
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Abstract
En 中文
This paper proposes a cost-effective and edge-directed image super-resolution scheme. Image super-resolution (image magnification) is an enthusiastic research area and is desired in a variety of applications. The basic idea of the proposed scheme is based on the concept of multi-kernel approach. Various stencils have been defined on the basis of geometrical regularities. This set of stencils is associated with the set of kernels. The value of a re-sampling pixel is obtained by calculating the weighted average of the pixels in the selected kernel. The time complexity of the proposed scheme is as low as that of classical linear interpolation techniques, but the visual quality is more appealing because of the edge-orientation property. The experimental results and analysis show that proposed scheme provides a good combination of visual quality and time complexity.
Keywords:
Super-resolution
Stencil
Geometrical regularity
Kernel
Edge-directed
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