Color image coding using morphological pyramid decomposition

Author

Overturf, Lori A. ; Comer, Mary L. ; Delp, Edward J.

Author_Institution

Comput. Vision & Image Process. Lab., Purdue Univ., West Lafayette, IN, USA

Volume

4

Issue

2

fYear

1995

fDate

2/1/1995 12:00:00 AM

Firstpage

177

Lastpage

185

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

block codes; data compression; image coding; image representation; mathematical morphology; parallel algorithms; smoothing methods; algorithm; block truncation coding; color images; computational complexity; data rates; lossy color image compression; mathematical morphology; morphological pyramid decomposition; parallel implementation; pyramidal coding; transmission capability; Color; Computer vision; Data structures; Image coding; Image resolution; Interpolation; Morphology; Quantization; Spatial resolution; Transmitters;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.342191

Filename

342191