Title :
Voting-Based Directional Interpolation Method and Its Application to Still Color Image Demosaicking
Author :
Xiangdong Chen ; Gwanggil Jeon ; Jechang Jeong
Author_Institution :
Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul, South Korea
Abstract :
In this paper, we present a novel color image demosaicking algorithm using a voting-based edge direction detection method and a directional weighted interpolation method. By introducing the voting strategy, the interpolation direction of the center missing color component can be determined accurately. Along the determined interpolation direction, the center missing color component is interpolated using the gradient weighted interpolation method by exploring the intra-channel gradient correlation of the neighboring pixels. As compared with the latest demosaicking algorithms, experiments show that the proposed algorithm provides superior performance in terms of both objective and subjective image qualities.
Keywords :
edge detection; gradient methods; image colour analysis; interpolation; directional weighted interpolation method; gradient weighted interpolation method; intrachannel gradient correlation; objective quality; still color image demosaicking; subjective image quality; voting-based edge direction detection method; Color imaging; Demosaicking; Edge detection; Interpolation; Color filter array (CFA) interpolation; demosaicking; edge directed interpolation; voting-based edge direction detection;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
DOI :
10.1109/TCSVT.2013.2255421