23 May 2013 A position-independent image complexity selector (PICSEL) for enhanced visualization and intuitive object detection in images
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Abstract
The PICSEL algorithm applies compact and fast-executing algorithms to create a “virtual terrain” in an image. It visually alters image areas so image analysts may intuitively locate, sort, classify, and identify objects, targets, or areas of interest. It also discriminates between areas which may be lossy-compressed or losslessly-compressed, thus improving image compression effectiveness. We first describe the goals, benefits, and challenges of PICSEL’s virtual terrain rendering. Then we apply it to some images to demonstrate and explain its behavior. We also discuss anticipated optimization and normalization techniques - the enhancements that will improve the PICSEL technique in the future.
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Troy McKay, Troy McKay, Herb Hirsch, Herb Hirsch, } "A position-independent image complexity selector (PICSEL) for enhanced visualization and intuitive object detection in images", Proc. SPIE 8747, Geospatial InfoFusion III, 87470F (23 May 2013); doi: 10.1117/12.2016557; https://doi.org/10.1117/12.2016557
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