A novel color interpolation algorithm by pre-estimating minimum square error

Author

Wang, Jhing-Fa ; Wang, Chien-Shun ; Hsu, Han-Jen

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

fYear

2005

fDate

23-26 May 2005

Firstpage

6288

Abstract

A novel color interpolation algorithm for the color filter array (CFA) in digital still cameras (DSCs) is presented. The paper introduces pre-estimating of the minimum square error to address the color interpolation for CFA. In order to estimate the missing pixels in the Bayer CFA pattern, the weights of adjacent color pattern pairs are decided by matrix computation. We adopt the color model (K_R, K_B) used in many color interpolation algorithms for CFA. The proposed algorithm can achieve better performance, as shown in the experimental results. Compared with previous methods, the proposed color interpolation algorithm can provide a high quality image in DSCs.

Keywords

cameras; image colour analysis; image reconstruction; interpolation; matrix algebra; parameter estimation; color filter array; color interpolation algorithm; color model; color pattern pairs; digital still cameras; image reconstruction; matrix computation; minimum square error pre-estimation; CMOS image sensors; Charge coupled devices; Charge-coupled image sensors; Consumer electronics; Costs; Digital cameras; Digital filters; Hardware; Interpolation; Sensor arrays; Bayer pattern; Color interpolation; color filter array;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on

Print_ISBN

0-7803-8834-8

Type

conf

DOI

10.1109/ISCAS.2005.1466078

Filename

1466078