Evaluation Framework for Multiband Image Enhancement and Blending Algorithms in Enhanced Flight Vision Systems
| Autor: | Hugo Jestes Zoilo, Alberto Briasco Gonzalez, Victor Medina Heierle, Javier Munoz De Luna Clemente, Adeodato Altamirano Aguilar, Jesus Martin Tapia, Maria Tejada Casado |
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| Rok vydání: | 2018 |
| Předmět: |
Enhanced flight vision system
Image quality Computer science Computation 010401 analytical chemistry Visibility (geometry) Detector ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Spectral bands 01 natural sciences 0104 chemical sciences 010309 optics 0103 physical sciences Imaging technology Algorithm Image resolution |
| Zdroj: | 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) SITIS |
| DOI: | 10.1109/sitis.2018.00049 |
| Popis: | Multiband imaging (the combination of image information from different spectral bands) is becoming a very common tool for image enhancement under low visibility conditions, due to the advances and cost reductions in imaging technology, particularly infrared (IR) sensors. As part of the development of an enhanced flight vision system (EFVS), this work proposes a laboratory setup to perform low visibility experiments in a controlled environment, as well as a set of methods to analyze and select the most adequate spectral bands in different scenarios. To serve as a starting point for similar research, a series of state-of-the-art band blending algorithms are provided, along with an evaluation of their performance on selected images regarding image quality and computation time. |
| Databáze: | OpenAIRE |
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