关键词: Doo Sabin细分, 图像插值, 锯齿, 放大, 几何特征

Abstract: Image interpolation is an important method to magnify images with low resolution to adapt to the target screens. To preserve the geometry feature of the original image is an effective way to improve the quality of magnified images. This paper proposed a new method to interpolate images based on Doo Sabin subdivision. The method adopted the essential idea of subdividing the quadrilateral mesh to enhance the sampling images of low resolution. Firstly, part of the data of high resolution images was obtained by mapping low resolution images. Secondly we classified the unknown pixels of high resolution images according to their geometric features. Then we interpolated all the unknown pixels by the assigned pixels. Values of the unknown pixels were the weighted average of their neighboring pixels. The weighted strategy was deduced by Doo Sabin subdivision. Experiments show that our method can preserve the sharp feature of image edges, decrease zigzags and achieve better results than the previous methods.

Key words: Doo Sabin subdivision, image interpolation, zigzag, magnification, geometry feature