20 February 2007 Image demosaic via Nevatia-Babu edge detection
Author Affiliations +
A template matching approach is used to demosaic (reconstruct) a full color image from the sparse pixel data captured by a CMOS imager. The proposed method is based on the Nevatia-Babu template-based linear feature extraction algorithm. This approach provides the color accuracy of gradient based algorithms yet reaps the benefit of regularity of processing of bilinear interpolation. In this paper we describe the algorithm (gradient estimation and color interpolation), compare results to other approaches, and present a hardware implementation. The consideration of hardware implementation is especially important as CMOS imagers find their way into low cost devices such as cell phones and other novelty camera applications.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Craig Reinhart, Craig Reinhart, James Bodie, James Bodie, } "Image demosaic via Nevatia-Babu edge detection", Proc. SPIE 6502, Digital Photography III, 65020W (20 February 2007); doi: 10.1117/12.704139; https://doi.org/10.1117/12.704139


A review of image fusion technology in 2005
Proceedings of SPIE (March 27 2005)
An efficient low-complexity approach to color trapping
Proceedings of SPIE (January 27 2008)
Image coding using a weak membrane model of images
Proceedings of SPIE (September 15 1994)
Colony image acquisition and segmentation
Proceedings of SPIE (November 13 2007)

Back to Top