Saturation-based adaptive inverse gradient interpolation for Bayer pattern images

Author

Cai, C. ; Yu, T.-H. ; Mitra, S.K.

Author_Institution

Dept. of Comput. Sci., Huaqiao Univ., Quanzhou, China

Volume

148

Issue

3

fYear

2001

fDate

6/1/2001 12:00:00 AM

Firstpage

202

Lastpage

208

Abstract

A saturation-based adaptive gradient interpolation algorithm is developed for Bayer pattern images obtained in single-sensor digital cameras. The proposed algorithm uses the concept of pseudo-saturation for 2×2 blocks of the image. The algorithm adapts the scheme of interpolation based on the classification of the pseudo-saturation of Bayer pattern images. Compared with other algorithms, the proposed method preserves fine details, reduces false colours, and distortions around edges and sharp features of the colour image reconstructed from different kinds of Bayer pattern images

Keywords

adaptive signal processing; cameras; gradient methods; image classification; image colour analysis; interpolation; inverse problems; Bayer pattern images; colour image reconstruction; computational complexity; cross-ratio interpolation; distortions reduction; false colour reduction; fine details preservation; image classification; pseudo-saturation; saturation-based adaptive inverse gradient interpolation; self-interpolation; single-sensor digital cameras;

fLanguage

English

Journal_Title

Vision, Image and Signal Processing, IEE Proceedings -

Publisher

iet

ISSN

1350-245X

Type

jour

DOI

10.1049/ip-vis:20010311

Filename

939610