Title :
Image reconstruction with two-dimensional piecewise polynomial convolution
Author :
Reichenbach, Stephen E. ; Geng, Frank
Author_Institution :
Dept. of Comput. Sci. & Eng., Nebraska Univ., Lincoln, NE, USA
Abstract :
This paper describes two-dimensional, non-separable, piecewise polynomial convolution for image reconstruction. We investigate a two-parameter kernel with support [-2,2]×[-2,2] and constrained for smooth reconstruction. The performance reconstructing a sampled random Markov field is superior to the traditional one-dimensional cubic convolution algorithm
Keywords :
convolution; image reconstruction; piecewise polynomial techniques; 1D cubic convolution algorithm; 2D piecewise polynomial convolution; image reconstruction; nonseparable piecewise polynomial convolution; sampled random Markov field; two-parameter kernel; Computational complexity; Computer science; Convolution; Digital images; Image processing; Image reconstruction; Interpolation; Kernel; Nearest neighbor searches; Polynomials;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.757531
