摘要
In this paper, we propose a new image interpolation algorithm by using geometric subdivision. Similar to image upsampling, the geometric subdivision can supplement unknown data according to a certain rule, but it can only generate smooth data. To preserve the sharp edges of the high-resolution image, we adopt a rational subdivision scheme. By adjusting the weight coeficients of the rational subdivision, we can control the mesh shape near sharp edges. Hence, the image edges are preserved.nn In this paper, we propose a new image interpolation algorithm by using geometric subdivision. Similar to image upsampling, the geometric subdivision can supplement unknown data according to a certain rule, but it can only generate smooth data. To preserve the sharp edges of the high-resolution image, we adopt a rational subdivision scheme. By adjusting the weight coeficients of the rational subdivision, we can control the mesh shape near sharp edges. Hence, the image edges are preserved.
- 出版日期2018-4
- 单位郑州大学