Edgars Lielāmurs, Andrejs Cvetkovs, Rihards Novickis, Kaspars Ozols. Infrared Image Pre-Processing and IR/RGB Registration with FPGA Implementation. Electronics, 12(4), 4 pp. MDPI, 2023.
Bibtex citāts:
Bibtex citāts:
@article{13311_2023,
author = {Edgars Lielāmurs and Andrejs Cvetkovs and Rihards Novickis and Kaspars Ozols},
title = {Infrared Image Pre-Processing and IR/RGB Registration with FPGA Implementation},
journal = {Electronics},
volume = {12},
issue = {4},
pages = {4},
publisher = {MDPI},
year = {2023}
}
author = {Edgars Lielāmurs and Andrejs Cvetkovs and Rihards Novickis and Kaspars Ozols},
title = {Infrared Image Pre-Processing and IR/RGB Registration with FPGA Implementation},
journal = {Electronics},
volume = {12},
issue = {4},
pages = {4},
publisher = {MDPI},
year = {2023}
}
Anotācija: Infrared imaging sensors are frequently used in thermal signature detection applications in industrial, automotive, military and many other areas. However, advanced infrared detectors are generally associated with high costs and complexity. Infrared detectors usually necessitate a thermoelectric heater–cooler for temperature stabilization and various computationally complex preprocessing algorithms for fixed pattern noise (FPN) correction. In this paper, we leverage the benefits of uncooled focal plane arrays and describe a complete digital circuit design for Field Programmable Gate Array (FPGA)-based infrared image acquisition and pre-processing. The proposed design comprises temperature compensation, non-uniformity correction, defective pixel correction cores, spatial image transformation and registration with RGB images. When implemented on Xilinx Ultrascale+ FPGA, the system achieves a throughput of 30 frames per second using the Fraunhofer IMS Digital 17 μm QVGA-IRFPA with a microbolometer array size of 320 × 240 pixels and an RGB camera with a 1024 × 720 resolution. The maximum ratio of the standard deviation to the mean of 0.35% was achieved after FPN correction.
Žurnāla kvartile: Q2