A position-independent image complexity selector (PICSEL) for enhanced visualization and intuitive object detection in images

Troy McKay; Herb Hirsch

doi:10.1117/12.2016557

23 May 2013 A position-independent image complexity selector (PICSEL) for enhanced visualization and intuitive object detection in images

Troy McKay, Herb Hirsch

Author Affiliations +

Proceedings Volume 8747, Geospatial InfoFusion III; 87470F (2013) https://doi.org/10.1117/12.2016557
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Troy McKay and 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); https://doi.org/10.1117/12.2016557

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