Image interpolation for progressive transmission by using radial basis function networks

Author

Sigitani, Teruki ; Iiguni, Youji ; Maeda, Hajime

Author_Institution

Dept. of Commun. Eng., Osaka Univ., Japan

Volume

10

Issue

2

fYear

1999

fDate

3/1/1999 12:00:00 AM

Firstpage

381

Lastpage

390

Abstract

Investigates the application of a radial basis function network (RBFN) to hierarchical image coding for progressive transmission. The RBFN is then used to generate an interpolated image from the subsampled version. An efficient method of computing the network parameters is developed for reduction in computational and memory requirements. The coding method does not suffer from problems of blocking effect and can produce the coarsest image quickly. Quantization error effects introduced at one stage are considered in decoding images at the following stages, thus allowing lossless progressive transmission

Keywords

image coding; image reconstruction; interpolation; radial basis function networks; visual communication; coarsest image; computational requirements; hierarchical image coding; image interpolation; interpolated image; memory requirements; progressive transmission; quantization error effects; Computer networks; Image coding; Image communication; Image generation; Image reconstruction; Image resolution; Interpolation; Propagation losses; Quantization; Radial basis function networks;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/72.750567

Filename

750567