1 November 2002 Context-based image coding using fuzzy logic
Author Affiliations +
Optical Engineering, 41(11), (2002). doi:10.1117/1.1510537
Abstract
We propose a new context-based image coding technique using fuzzy logic in the quantization and entropy coding processes. Firstly, we have improved the well-known trellis-coded quantization (TCQ), using previous states of the TCQ symbols and fuzzy logic to predict the current TCQ state of the quantized wavelet coefficient. We designed the fuzzy rules and membership functions using our experiences in image coding. The quantized coefficients were presented with the bit planes, and the bits were coded arithmetically. Secondly, we propose a new probability estimation method for the adaptive arithmetic coder, using fuzzy logic to assign the probability of the coded symbol. Observations of previously coded bits were used as inputs of the fuzzy logic, which assigns the probability of the coded bit according to the fuzzy rules and membership functions. The efficiency of the context-based image coder using fuzzy logic achieves state-of-the-art results with respect to rate distortion.
Dusan Gleich, Peter Planinsic, Zarko Cucej, "Context-based image coding using fuzzy logic," Optical Engineering 41(11), (1 November 2002). http://dx.doi.org/10.1117/1.1510537
JOURNAL ARTICLE
10 PAGES


SHARE
KEYWORDS
Fuzzy logic

Wavelets

Image compression

Quantization

Distortion

Image quality

Fuzzy systems

RELATED CONTENT

Fiber optic illumination systems
Proceedings of SPIE (August 01 1990)
Efficient image browsing with JPEG2000 internet protocol
Proceedings of SPIE (April 19 2004)

Back to Top