中文说明：
噪声会恶化数字图像中的插值性能，在插值之前进行去噪是有效的。在本文中，我们提出了一种新的插值框架，其中嵌入了去噪和图像锐化方法。在该框架中，首先使用双边滤波器将图像分解为细节层和基本层，分别表示小尺度和大尺度特征。在插值之前，对细节层进行自适应平滑以抑制噪声，并对两层应用边缘保持插值方法。最后，通过组合基础层和细节层获得高分辨率图像。实验结果表明，该算法优于传统方法。
English Description：
Noise will deteriorate the interpolation performance in digital images, and it is effective to denoise before interpolation. In this paper, we propose a new interpolation framework in which denoising and image sharpening methods are embedded. In this framework, firstly, the image is decomposed into detail layer and basic layer by using bilateral filters to represent small-scale and large-scale features respectively. Before interpolation, the detail layer is adaptively smoothed to suppress noise, and the edge preserving interpolation method is applied to the two layers. Finally, a high-resolution image is obtained by combining the base layer and the detail layer. Experimental results show that the algorithm is better than the traditional method