Using image enhancement to improve automated analytics

Aaron L. Paolini; Stephen T. Kozacik; Ariel Sherman; Eric J. Kelmelis

doi:10.1117/12.2666063

15 June 2023 Using image enhancement to improve automated analytics

Aaron L. Paolini, Stephen T. Kozacik, Ariel Sherman, Eric J. Kelmelis

Author Affiliations +

Proceedings Volume 12521, Automatic Target Recognition XXXIII; 125210R (2023) https://doi.org/10.1117/12.2666063
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Many tasks previously performed by human analysts watching videos (live or recorded) are now being done by machine learning and artificial intelligence-based tools. Image enhancement techniques have been developed over decades to improve the quality of video for human operators. However, little work has been done to determine if this same approach can improve the efficacy of automated tools. In this paper, we briefly look at the improvement image enhancement can provide to common tasks such as detection, classification, and identification.

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Citation Download Citation

Aaron L. Paolini, Stephen T. Kozacik, Ariel Sherman, and Eric J. Kelmelis "Using image enhancement to improve automated analytics", Proc. SPIE 12521, Automatic Target Recognition XXXIII, 125210R (15 June 2023); https://doi.org/10.1117/12.2666063

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