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