Proceedings Paper
A position-independent image complexity selector (PICSEL) for enhanced visualization and intuitive object detection in images| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 23 May 2013
PDF: 7 pages
Proc. SPIE 8747, Geospatial InfoFusion III, 87470F (23 May 2013); doi: 10.1117/12.2016557
Published in SPIE Proceedings Vol. 8747:
Geospatial InfoFusion III
Matthew F. Pellechia; Richard J. Sorensen; Kannappan Palaniappan, Editor(s)
PDF: 7 pages
Proc. SPIE 8747, Geospatial InfoFusion III, 87470F (23 May 2013); doi: 10.1117/12.2016557
Show Author Affiliations
Troy McKay, CACI International, Inc. (United States)
Herb Hirsch, Hirsch Engineering and Communications, Inc. (United States)
Published in SPIE Proceedings Vol. 8747:
Geospatial InfoFusion III
Matthew F. Pellechia; Richard J. Sorensen; Kannappan Palaniappan, Editor(s)
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