Binary morphological subband decomposition for image coding
Date
1996
Authors
Gürcan, Metin Nafi
Gerek, Ömer Nezih
Çetin, A. Enis
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
BUIR Usage Stats
1
views
views
23
downloads
downloads
Citation Stats
Series
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
Publisher
IEEE
Course
Other identifiers
Book Title
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
Degree Discipline
Degree Level
Degree Name
Citation
Permalink
Published Version (Please cite this version)
Language
English
Type
Conference Paper