Color image coding using morphological pyramid decomposition
- 1 January 1995
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 4 (2) , 177-185
- https://doi.org/10.1109/83.342191
Abstract
Presents a new algorithm that utilizes mathematical morphology for pyramidal coding of color images. The authors obtain lossy color image compression by using block truncation coding at the pyramid levels to attain reduced data rates. The pyramid approach is attractive due to low computational complexity, simple parallel implementation, and the ability to produce acceptable color images at moderate data rates. In many applications, the progressive transmission capability of the algorithm is very useful. The authors show experimental results for color images at data rates of 1.89 bits/pixel.Keywords
This publication has 18 references indexed in Scilit:
- Binary morphological coding of grayscale imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A study of the generalized morphological filterCircuits, Systems, and Signal Processing, 1992
- The use of block truncation coding in DPCM image codingIEEE Transactions on Signal Processing, 1991
- The analysis of morphological filters with multiple structuring elementsComputer Vision, Graphics, and Image Processing, 1990
- A morphological pyramidal image decompositionPattern Recognition Letters, 1989
- Pyramidal Image Processing Using MorphologyPublished by SPIE-Intl Soc Optical Eng ,1988
- Morphological filters--Part I: Their set-theoretic analysis and relations to linear shift-invariant filtersIEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
- Image Analysis Using Mathematical MorphologyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- The Pyramid as a Structure for Efficient ComputationPublished by Springer Nature ,1984
- Image data compression using autoregressive time series modelsPattern Recognition, 1979