An adaptive technique for the enhanced fusion of low-light visible with uncooled thermal infrared imagery

A new algorithm is introduced that performs spatially adaptive enhancement on low-light visible and infrared images of the same scene and fusion of these into one composite image. The algorithm involves low-pass/high-pass filtering and simple nonlinear operations that can be table driven. Examples of the processing on image data collected in field tests are given.

[1]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[2]  John W. Sammon,et al.  A Nonlinear Mapping for Data Structure Analysis , 1969, IEEE Transactions on Computers.

[3]  Tamar Peli,et al.  Adaptive Filtering For Image Enhancement , 1982 .

[4]  David M. Craig,et al.  Progress on color night vision: visible/IR fusion, perception and search, and low-light CCD imaging , 1996, Defense, Security, and Sensing.

[5]  James William Scrofani An adaptive method for the enhanced fusion of low-light visible and uncooled thermal infrared imagery , 1997 .

[6]  P. Verlinde,et al.  Multi-level Data Fusion for the Detection of Targets Using Multi-spectral Image Sequences , 1998 .

[7]  I. Fujimasa,et al.  Development of a new infrared imaging system: an infrared image superimposed on the visible image , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[8]  Dariu Gavrila,et al.  The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..