Title :
Edge curve scaling and smoothing with cubic spline interpolation
Author :
Wei-Chen Wu ; Tsun-Hsien Wang ; Ching-Te Chiu
Author_Institution :
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
Image scaling is a widely used method for many applications and numerous approaches have been proposed to this issue. Current approaches that bring promising results while the edge curves of the scaled up image still have blurring effect. This paper focuses on the edge curve of an image. We propose a simple method for edge curve scaling to avoid the disconnect and zigzag problems when using cubic spline interpolation. The scaling results of our method can avoid blurring of the edge curve and maintain the edge contour of an input image.
Keywords :
edge detection; interpolation; splines (mathematics); blurring effect; cubic spline interpolation; disconnect problems; edge contour; edge curve scaling; edge curve smoothing; image scaling; zigzag problems; Educational institutions; Image edge detection; Image resolution; Interpolation; Shape; Smoothing methods; Splines (mathematics); Image scaling; spine smoothing; spline interpolation;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738177