Title :
Neural concurrent subsampling and interpolation for images
Author :
Kim, J.-O. ; Choi, B.-T. ; Ko, S.J.
Author_Institution :
Dept. of Electron. Eng., Korea Univ., Seoul, South Korea
fDate :
10/28/1999 12:00:00 AM
Abstract :
A concurrent subsampling and interpolation algorithm for images is presented which uses a feedfoward neural network (FNN), providing the advantages of good image reproduction quality and high speed processing capability. Experimental results show that the proposed technique exhibits an increased performance over conventional methods such as linear- and cubic-based interpolation
Keywords :
feedforward neural nets; image reconstruction; image sampling; interpolation; feedfoward neural network; image reproduction quality; interpolation algorithm; neural concurrent subsampling; processing capability;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19991321
