Progressive image transmission

Author

Gong, Wei ; Rao, K.R. ; Manry, M.T.

Author_Institution

Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA

Volume

3

Issue

5

fYear

1993

fDate

10/1/1993 12:00:00 AM

Firstpage

380

Lastpage

383

Abstract

Progressive image transmission (PIT) is widely used in many applications, since it generates the successively improved reconstructions of an image. In spatial domain PIT systems, perfectly reconstructed images can be obtained at the final stage. However the intermediate images are not good and there is no data compression. In this paper, the authors present a new simple spatial domain progressive image transmission using modified Kohonen self-organizing feature map algorithm, which is called Kohonen vector quantizer (KVQ). To alleviate edge distortion a classification technique is applied to KVQ. Computer simulation results show that very good intermediate images can be obtained at reasonable bit rates using the PIT scheme introduced

Keywords

image coding; image reconstruction; self-organising feature maps; vector quantisation; visual communication; Kohonen vector quantizer; PIT; classification technique; edge distortion; intermediate images; modified Kohonen self-organizing feature map algorithm; reconstructed images; spatial domain progressive image transmission; Application software; Bit rate; Data compression; HDTV; Image communication; Image generation; Image reconstruction; Medical diagnosis; Postal services; Teleconferencing;

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/76.246089

Filename

246089