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Image Interpolation by Blending Kernels
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DOI：10.1109/LSP.2008.2006336.png)
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Abstract
En 中文
A new convolution-based image interpolation method is presented, whose kernel function is designed via blending some well-known kernels. The new kernel is a better approximation to sinc function both in the space domain and the frequency domain. Comparative experiments with several polynomial spline type algorithms indicate that our approach exhibits a significant improvement in image quality.
Keywords:
Blending
convolution
image interpolation
kernel function
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