Title
Perceptual evaluation of different image fusion schemes
Author
Toet, A.
IJspeert, J.K.
TNO Technische Menskunde
Contributor
Kadar, I. (editor)
Publication year
2001
Abstract
Human perceptual performance was tested with images of nighttime outdoor scenes. The scenes were registered both with a dual band (visual and near infrared) image intensified low-light CCD camera (DII) and with a thermal middle wavelength band (3-5 μm) infrared (IR) camera. Fused imagery was produced through a pyramid image merging scheme, in combination with different colour mappings. For all (individual and fused) image modalities, small patches of the scenes, displaying a range of different objects and materials, were briefly presented to human observers. The sensitivity of human observers was tested for different recognition tasks. The results show that greyscale image fusion yields improved performance levels for most perceptual tasks investigated here. When an appropriate colour mapping scheme is applied, the addition of colour to greyscale fused imagery significantly increases observer sensitivity for a given condition and a certain task. However, inappropriate use of colour significantly decreases observer performance compared to straightforward greyscale image fusion. This suggests that colour mapping should adapt to the visual task and the conditions (scene content) at hand
Subject
Vision
Detection
Image fusion
Infrared
Intensified visual
Recognition
Situational awareness
Visual performance
Cameras
Charge coupled devices
Color image processing
Image analysis
Image sensors
Object recognition
Photomapping
Sensitivity analysis
Image fusion schemes
Sensor data fusion
To reference this document use:
http://resolver.tudelft.nl/uuid:52ce2dc6-5189-4c29-a651-14c265008d1e
DOI
https://doi.org/10.1117/12.436969
TNO identifier
10972
Publisher
The International Society for Optical Engineering, Bellingham, WA
Source
Signal Processing, Sensor Fusion, and Target Recognition X, 4380, 436-441
Series
Proceedings of SPIE
Document type
conference paper