Demosaicing by successive approximation

Author

Li, Xin

Author_Institution

Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA

Volume

14

Issue

3

fYear

2005

fDate

3/1/2005 12:00:00 AM

Firstpage

370

Lastpage

379

Abstract

In this paper, we present a fast and high-performance algorithm for color filter array (CFA) demosaicing. CFA demosaicing is formulated as a problem of reconstructing correlated signals from their downsampled versions with an opposite phase. The major contributions of this work include 1) a new iterative demosaicing algorithm in the color difference domain and 2) a spatially adaptive stopping criterion for suppressing color misregistration and zipper artifacts in the demosaiced images. We have compared the proposed demosaicing algorithm with two current state-of-the-art techniques reported in the literature. Ours outperforms both of them on demosaicing performance and computational cost.

Keywords

image colour analysis; image reconstruction; image registration; image sampling; image segmentation; iterative methods; optical filters; color filter array; color misregistration suppression; color ratio rule; image demosaicing; image reconstruction; image sampling; iterative demosaicing algorithm; spatially adaptive stopping criterion; state-of-the-art technique; successive approximation; zipper artifact; Charge coupled devices; Color; Computational complexity; Computational efficiency; Filters; Image reconstruction; Image sampling; Interpolation; Iterative algorithms; Pixel; Bayer pattern; color difference rule; color filter array (CFA); color misregistration artifacts; color ratio rule; iterative demosaicing; successive approximation; Algorithms; Artificial Intelligence; Color; Colorimetry; Computer Graphics; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/TIP.2004.840683

Filename

1395992