关键词: 图像放大, B样条曲线, 边缘检测, 双三次插值

Abstract: Image enlargement and reduction are widely applied in real life. The popular image processing software commonly carries out magnification and reduction by interpolation methods. The realization of a variety of interpolation algorithms is now a hotspot for research. Now a new interpolation algorithm based on the nonuniform Bspline curve was proposed. By this way which applies a nonuniform parameterization method different from the traditional algorithms, the objective image after interpolation can maintain a higher resolution and good smoothness. As for the serrated phenomenon on image edges, the algorithm interpolates the image edges with the bi-cubic algorithm when interpolating. Thus, the visual effect on edges can be optimized. The experimental results show that the image becomes clearer and smoother by the new way. On the image edges, the serrated phenomenon is eliminated and a good visual effect is achieved.

Key words: image enlargement, B-spline curve, edge check, bi-cubic interpolation