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

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

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 advantag...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Suksmono, A.B., Karsa, K., Tjondronegoro, S., Soegijoko, S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bit rate
Discrete wavelet transforms
Image coding
Neural networks
Organizing
Signal processing
Signal processing algorithms
Transform coding
Vector quantization
Video coding
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
DOI:10.1109/APCCAS.1998.743892