Title :
Image interpolation using neural networks
Author :
Plaziac, Nathalie
Author_Institution :
Ericsson Messaging Syst., Woodbury, NY, USA
fDate :
11/1/1999 12:00:00 AM
Abstract :
This work presents an image interpolation method based on a multilayer perceptron. The method is tested in noise-free as well as noisy line doubling and image expansion problems. Two adaptive algorithms are compared. Results show that the proposed method improves image interpolation
Keywords :
adaptive signal processing; backpropagation; image processing; interpolation; least mean squares methods; multilayer perceptrons; adaptive algorithms; image expansion; image interpolation; multilayer perceptron; neural networks; noise-free line doubling; noisy line doubling; Adaptive algorithm; Finite impulse response filter; Image quality; Interpolation; Multilayer perceptrons; Neural networks; Nonlinear filters; PSNR; Pixel; Testing;
Journal_Title :
Image Processing, IEEE Transactions on
