Limiting liability via high-resolution image processing

L. Eric Greenwade; Trudy K. Overlin

doi:10.1117/12.263476

21 January 1997 Limiting liability via high-resolution image processing

L. Eric Greenwade, Trudy K. Overlin

Proceedings Volume 2939, Training, Education, and Liability Issues for Law Enforcement Scientists and Engineers; (1997) https://doi.org/10.1117/12.263476
Event: Enabling Technologies for Law Enforcement and Security, 1996, Boston, MA, United States

Abstract

The utilization of high resolution image processing allows forensic analysts and visualization scientists to assist detectives by enhancing field photographs, and by providing the tools and training to increase the quality and usability of field photos. Through the use of digitized photographs and computerized enhancement software, field evidence can be obtained and processed as 'evidence ready,' even in poor lighting and shadowed conditions or darkened rooms. These images, which are most often unusable when taken with standard camera equipment, can be shot in the worst of photographic condition and be processed as usable evidence. Visualization scientists have taken the use of digital photographic image processing and moved the process of crime scene photos into the technology age. The use of high resolution technology will assist law enforcement in making better use of crime scene photography and positive identification of prints. Valuable court room and investigation time can be saved and better served by this accurate, performance based process. Inconclusive evidence does not lead to convictions. Enhancement of the photographic capability helps solve one major problem with crime scene photos, that if taken with standard equipment and without the benefit of enhancement software would be inconclusive, thus allowing guilty parties to be set free due to lack of evidence.

Citation Download Citation

L. Eric Greenwade and Trudy K. Overlin "Limiting liability via high-resolution image processing", Proc. SPIE 2939, Training, Education, and Liability Issues for Law Enforcement Scientists and Engineers, (21 January 1997); https://doi.org/10.1117/12.263476

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