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Low bit rate image coding based on vector transformation with neural network approach

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4 Author(s)
A. B. Suksmono ; Dept. of Electr. Eng., ITB, Bandung, Indonesia ; K. Karsa ; S. Tjondronegoro ; S. Soegijoko

Vector transformation is a new method in unifying vector quantization (VQ) and transform coding. So far, the codebook generation that has been applied in this coding is the LBG algorithm. With the development of neural networks, especially Self Organizing Feature Maps (SOFM), there are some advantages that can be used to improve a system's performance. In this paper, we explore the application of the SOFM algorithm to generate the Vector Transform Coding (VTC) codebook and compare the result with some coding rates using the LBG algorithm

Published in:

Circuits and Systems, 1998. IEEE APCCAS 1998. The 1998 IEEE Asia-Pacific Conference on

Date of Conference:

24-27 Nov 1998