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计算机应用 2005
Adaptive nonlinear deblurring of image interpolation
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Abstract:
Linear space-invariant interpolation schemes, such as the nearest interpolation, the linear interpolation and the cubic interpolation, cannot produce sufficient resolution around edges and consequently the zoomed images become obscured. Here a high-pass rational filter is improved to remove this distortion. The edge-sensitive operator is generalized to a two dimensional form to efficiently deal with images. The results of processing show that the new filter operator can preserve the geometric regularity around edges in the enlarged images interpolated by the linear space - invariant schemes. This scheme of adaptive deblurring makes enlarged images gets higher resolution and better visual quality than other image interpolation enhancement schemes, such as unsharp masking and iterative recovery.