Research On Methods Of The Image Interpolation Based On B-spline

Image interpolation is used widely in the computer vision. Holding edge information ismain problem in the image interpolation. By using bilinear and bicubic B-spline interpolationmethods, a novel image interpolation approach was proposed in this paper. Firstly, inversedistance weighted average method was used to reduce image’s noise. Secondly, edge detectionoperator was used to extract image’s edges information. It can help us to select differentinterpolation methods in the image interpolation process. Finally, we selected bilinearinterpolation approach at non-edge regions, and bicubic B-spline interpolation method wasused near edges regions. Further more, control vertexes were computed from pixels withcalculation formula which has been simplified in the B-spline interpolation process.Experiments showed the interpolated image by the proposed method had good vision results forit could hold image’s edge information effectively.