Introduction - If you have any usage issues, please Google them yourself
the noise deteriorates the
interpolation performance in digital images, it is effective to
employ denoising prior to the interpolation. In this paper, we
propose a novel interpolation framework in which denoising
and image sharpening methods are embedded. In the
proposed framework, the image is first decomposed using the
bilateral filter into the detail and base layers which represent
the small and large scale features, respectively. The detail
layer is adaptively smoothed to suppress the noise before
interpolation and an edge-preserving interpolation method is
applied to both layers. Finally, the high resolution image is
obtained by combining the base and detail layers.
Experimental results show that the proposed algorithm
outperforms the conventional methods