Accession Number:

ADA626984

Title:

Enhancing the Detectability of Subtle Changes in Multispectral Imagery Through Real-time Change Magnification

Descriptive Note:

Final rept. 1 May 2014-30 Apr 2015

Corporate Author:

TNO TECHNISCH MENSKUNDE SOESTERBERG (NETHERLANDS)

Personal Author(s):

Report Date:

2015-07-27

Pagination or Media Count:

9.0

Abstract:

In this project we adapted the newly developed Phase-Based Video Processing PBVP algorithm to enhance the visibility of subtle temporal changes movement or temperature fluctuations in multiband visual, near-, shortwave- and longwave-infrared imagery while simultaneously reducing dynamic noise. We successfully applied the adapted algorithm to enhance the visibility of small movements in the Visual, Near-Infrared and Thermal LWIR bands of multiband video sequences registered by the TNO TRI-band Color Low-light OBServation System TRICLOBS, and in dynamic short-wave infrared SWIR sequences provided by AFRL711HPWRHCV. In addition, we applied the method for the early detection of change processes, for the estimation of a person s heart rate from facial videos, and to enhance the visibility of landmines in polarized SWIR sequences. In the course of the project we also developed a simple Power-Logarithm Pow-Log histogram modification operator to enhance image contrast, and a new color-to-gray conversion algorithm that retains both the overall appearance and the discriminability of a three channel color image when represented as a single band grayscale image.

Subject Categories:

  • Cybernetics
  • Optical Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE