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Numerical Methods for Decorrelation Stretch
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DOI：10.3390/math13203297.png)
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Abstract
En 中文
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.
Keywords:
decorrelation stretch
image enhancement
RGB images
QR factorization
singular value decomposition (SVD)