Reconstruction of color images from a single-chip CCD sensor based on Markov random field models

Chi-hsin Wu; Peter C. Doerschuk

doi:10.1117/12.217411

22 August 1995 Reconstruction of color images from a single-chip CCD sensor based on Markov random field models

Chi-hsin Wu, Peter C. Doerschuk

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217411
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Chi-hsin Wu and 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); https://doi.org/10.1117/12.217411

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