Multichannel techniques in color image enhancement and modeling

Author

Pitas, I. ; Kiniklis, P.

Author_Institution

Dept. of Inf., Thessaloniki Univ., Greece

Volume

5

Issue

1

fYear

1996

fDate

1/1/1996 12:00:00 AM

Firstpage

168

Lastpage

171

Abstract

We present novel multichannel methods in two target research areas. The first area is color image modeling. Multichannel AR models have been developed and applied to color texture segmentation and synthesis. The second area is color image equalization, which is performed on the three RGB channels simultaneously, using the joint PDF. Alternatively, equalization at the HSI domain is performed in order to avoid changes in digital image hue. A parallel algorithm is proposed for color image histogram calculation and equalization

Keywords

autoregressive processes; equalisers; image colour analysis; image enhancement; image texture; parallel algorithms; probability; telecommunication channels; RGB channels; color image enhancement; color image equalization; color image histogram calculation; color image modeling; color texture segmentation; color texture synthesis; digital image hue; joint PDF; multichannel AR models; multichannel methods; multichannel techniques; parallel algorithm; research areas; Bayesian methods; Color; Image processing; Image reconstruction; Image restoration; Lattices; Layout; Object recognition; Shape; Statistical analysis;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.481684

Filename

481684