Binary morphological subband decomposition for image coding

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Binary morphological subband decomposition for image coding.pdf (394.24 KB)

Date

1996

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Abstract

In this paper a binary waveform coding method based on morphological subband decomposition coupled with embedded zero-tree and entropy coding is described. This method can be utilized in text compression or bit-plane coding of images. Binary morphological subband decomposition operations are carried out in the Gallois Field, resulting in a computationally efficient structure. Simulation studies are presented.

Source Title

Proceedings of the 3rd International Symposium on Time-Frequency and Time-Scale Analysis, IEEE 1996

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IEEE

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Keywords

Binary codes, Computer simulation, Data structures, Digital arithmetic, Encoding (symbols), Image compression, Image reconstruction, Wavelet transforms, Binary waveform, Bit plane coding, Entropy coding, Gallois field, Morphological subband decomposition, Zero-tree coding, Image coding

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http://hdl.handle.net/11693/27747

Published Version (Please cite this version)

http://doi.org/10.1109/TFSA.1996.547487

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Scholarly Publications - Electrical and Electronics Engineering

Language

English

Type

Conference Paper