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Software . 2026
License: CC BY NC
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Software . 2026
License: CC BY NC
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Software . 2026
License: CC BY NC
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Software . 2026
License: CC BY NC
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Software . 2026
License: CC BY NC
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ZENODO
Software . 2026
License: CC BY NC
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ZENODO
Software . 2026
License: CC BY NC
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pydecorrelation-stretch

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Jan 2026Publisher:Zenodo
Authors: Mendez, Victor;
Code repository: https://github.com/arqueomendez/Decorrelation-Blender/tree/v0.6.0

doi: 10.5281/zenodo.18176606 , 10.5281/zenodo.17172811 , 10.5281/zenodo.18186573 , 10.5281/zenodo.18186583

pydecorrelation-stretch

Abstract

DStretch Python es una implementación avanzada y validada del algoritmo decorrelation stretch para el realce de imágenes arqueológicas, especialmente arte rupestre, en Python. Replica matemáticamente el plugin DStretch de ImageJ (Jon Harman), con arquitectura moderna, interfaces CLI/GUI y 23 espacios de color validados.

If you use this software, please cite it using the metadata from this file.

Keywords

dstretch, decorrelation stretch, blender, archaeology

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Digital Humanities and Cultural Heritage