Decorrelation stretch is an image enhancement technique that emphasizes color differences, which also applicable to multispectral datasets. It transforms an image so that its color plane result is uncorrelated, with assigned variances. The standard algorithm may suffer from numerical instability. Moreover, it is not able to manage degenerate cases, where color planes are linearly dependent. In this paper, we review the theory behind decorrelation stretch and propose some alternative algorithms that resolve the issues of the standard approach.

Numerical Methods for Decorrelation Stretch

Crabu, Elisa;Pes, Federica
;
Rodriguez, Giuseppe
2025-01-01

Abstract

Decorrelation stretch is an image enhancement technique that emphasizes color differences, which also applicable to multispectral datasets. It transforms an image so that its color plane result is uncorrelated, with assigned variances. The standard algorithm may suffer from numerical instability. Moreover, it is not able to manage degenerate cases, where color planes are linearly dependent. In this paper, we review the theory behind decorrelation stretch and propose some alternative algorithms that resolve the issues of the standard approach.
2025
decorrelation stretch; image enhancement; RGB images; QR factorization; singular value decomposition (SVD)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/459449
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