Progressive image transmission

• Published in: IEEE transactions on circuits and systems for video technology Vol. 3; no. 5; pp. 380 - 383
• Main Authors: Wei Gong, Rao, K.R., Manry, M.T.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-10-1993; Institute of Electrical and Electronics Engineers
• Subjects: Application software; Applied sciences; Bit rate; Data compression; Exact sciences and technology; HDTV; Image communication; Image generation; Image processing; Image reconstruction; Information, signal and communications theory; Medical diagnosis; Postal services; Signal processing; Telecommunications and information theory; Teleconferencing; Progressive; Vector quantization; Computer simulation; Data compression; Quantifier; Digital image; Image transmission; Image reconstruction
• ISSN: 1051-8215; 1558-2205
• DOI: 10.1109/76.246089

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.< >