Title :
Joint color decrosstalk and demosaicking for CFA cameras
Author :
Wu, Xiaolin ; Zhang, Xiangjun
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
Abstract :
The problem of crosstalk between different color bands was seemingly overlooked by existing color demosaicking algorithms. In this paper we propose a new joint demosaicking and decrosstalk technique that corrects channel crosstalks by adaptive least-squares inverse filtering. The new technique integrates the operations of deconvolution for crosstalk removal and interpolation for color demosaicking, and it introduces a general framework in which any spatially varying crosstalks and varying spatial-spectral correlations can be modeled and factored into the color reproduction. Simulation results show that the proposed technique is highly effective and capable to obtain both high color fidelity and sharp, clean spatial details.
Keywords :
adaptive filters; cameras; image colour analysis; image segmentation; interpolation; least squares approximations; CFA cameras; adaptive least-squares inverse filtering; channel crosstalks; color demosaicking; color fidelity; color reproduction; crosstalk removal; joint color decrosstalk; spatial-spectral correlations; Adaptation model; Color; Colored noise; Correlation; Crosstalk; Image color analysis; Pixel;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5653824