Title :
Image Interpolation by Blending Kernels
Author_Institution :
Dept. of Math. & Comput. Sci., Colorado Sch. of Mines, Golden, CO
fDate :
6/30/1905 12:00:00 AM
Abstract :
A new convolution-based image interpolation method is presented, whose kernel function is designed via blending some well-known kernels. The new kernel is a better approximation to sinc function both in the space domain and the frequency domain. Comparative experiments with several polynomial spline type algorithms indicate that our approach exhibits a significant improvement in image quality.
Keywords :
image processing; interpolation; splines (mathematics); blending kernels; frequency domain; image interpolation; image quality; polynomial spline type algorithms; sinc function; space domain; Convolution; Digital images; Frequency domain analysis; Image quality; Interpolation; Kernel; Polynomials; Shape; Signal processing; Spline; Blending; convolution; image interpolation; kernel function;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2006336
