New iterative algorithm for restoration of chromotomographic images

Andrzej K. Brodzik; Jonathan Martin Mooney

doi:10.1117/12.328107

16 October 1998 New iterative algorithm for restoration of chromotomographic images

Andrzej K. Brodzik, Jonathan Martin Mooney

Proceedings Volume 3438, Imaging Spectrometry IV; (1998) https://doi.org/10.1117/12.328107
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

We present a new algorithm for chromotomographic image restoration. The main stage of the algorithm employs the iterative method of projections onto convex sets, utilizing a new constraint operator. The constraint takes advantage of hyperspectral data redundancy and information compacting ability of singular value decomposition to reduce noise and artifacts. Results of experiments on both in-house and AVIRIS data demonstrate that the algorithm converges rapidly and delivers high image fidelity.

Citation Download Citation

Andrzej K. Brodzik and Jonathan Martin Mooney "New iterative algorithm for restoration of chromotomographic images", Proc. SPIE 3438, Imaging Spectrometry IV, (16 October 1998); https://doi.org/10.1117/12.328107

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