22 August 1995 Reconstruction of color images from a single-chip CCD sensor based on Markov random field models
Author Affiliations +
In this paper, we utilize a Bayesian estimator based on a Markov random field prior image model in order to reconstruct a full-resolution color image from single-chip CCD sensor. The fact that the image is a color image is incorporated by using coupled Markov random fields, one field for each color component. The observation is the sampled color image. The Bayesian estimator is approximately computed by using a deterministic method due to Besag called iterated conditional modes. A numerical example illustrating the performance of our proposed approach and the performance of alternative interpolation approach is presented.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chi-hsin Wu, Chi-hsin Wu, Peter C. Doerschuk, Peter C. Doerschuk, } "Reconstruction of color images from a single-chip CCD sensor based on Markov random field models", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); doi: 10.1117/12.217411; https://doi.org/10.1117/12.217411


SCREEN photometric property detection system based on area CCD
Proceedings of SPIE (September 08 2011)
Variational famework for Retinex
Proceedings of SPIE (May 29 2002)
Correcting lateral chromatic aberrations by image processing
Proceedings of SPIE (September 08 2010)

Back to Top