The decorrelation stretch technique was developed in 1978 by researchers at NASA's Jet Propulsion Laboratory (JPL). Its initial purpose was to improve the interpretation of high-correlation remote sensing and satellite imagery, including images from Mars. The method is based on the Karhunen–Loève Transform, which maximizes energy compaction in statistical analysis.
In 2005, archaeologist Jon Harman encountered images of Mars processed with this NASA technique. Recognizing its potential, Harman researched the algorithm and applied it to photographs of rock art. His initial tests on rock art in Baja California, Mexico, revealed a new yellow figure, confirming the technique's usefulness for archaeological study.
Unlike simple contrast enhancement, decorrelation stretch maps original colors to a different, expanded range of colors. This process, refined by Ronald Alley at JPL in 1996, makes subtle color variations more apparent. Harman, with a background in medical imaging and mathematics, developed the Dstretch software plug-in to apply this method specifically to rock art imagery.
The application of decorrelation stretch allows archaeologists to uncover details in ancient rock art that are otherwise invisible to the naked eye or standard photographic methods. This provides new data for understanding historical cultures and their artistic expressions, contributing to the study of some of the world's oldest paintings.
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A NASA image processing technique, decorrelation stretch, originally developed for Mars imagery, is now being used by archaeologist Jon Harman to enhance ancient rock art images. This method reveals previously unseen details in faded artwork by expanding color ranges, offering new insights into historical artifacts.