A new framework for characterization of halftone textures

Author

Chang, Ti-Chiun ; Allebach, Jan P.

Author_Institution

Siemens Corp. Res. Inc., Princeton, NJ, USA

Volume

2

fYear

2005

fDate

18-23 March 2005

Abstract

Characterization of halftone textures is important for quantitative assessment of halftone quality. We develop a new framework based on directional local sequency analysis and a filter bank structure. We decompose a halftone image into subband images from which we can easily reconstruct the original halftone. Based on these subband images, we define the directional sequency spectrum which is analogous to the 2D Fourier spectrum, and formulate several texture measures. Three test images are used to justify these measures.

Keywords

channel bank filters; image classification; image reconstruction; image texture; 2D Fourier spectrum; directional local sequency analysis; directional sequency spectrum; filter bank structure; halftone quality assessment; halftone texture characterization; image decomposition; image reconstruction; subband images; Anisotropic magnetoresistance; Binary sequences; Filter bank; Image analysis; Image decomposition; Image reconstruction; Image sequence analysis; Image texture analysis; Neodymium; Nonlinear filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8874-7

Type

conf

DOI

10.1109/ICASSP.2005.1415466

Filename

1415466