In this article, we define a generic gradient for color and spectral images, considering a proposed taxonomy of the state of the art. A full-vector gradient, taking into account the sensor's characteristics, is in compliance with the metrological properties of genericity, robustness, and reproducibility. Here, we construct a protocol to compare gradients from different sensors. The comparison is developed by simulating sensors using their spectral characteristics. We develop three experiments using this protocol. The first experiment shows the consistency of results for similar sensors; the second demonstrates the genericity of the approach, adapted to any kind of imaging sensors; and the third focuses on the channel inter-correlation considering sensors such as in the color vision deficiency case.
Gradient in spectral and color images: from the Di Zenzo initial construction to a generic proposition.
Hermine Chatoux,N. Richard,F. Lecellier,C. Fernandez-Maloigne
Published 2019 in Journal of The Optical Society of America A-optics Image Science and Vision
ABSTRACT
PUBLICATION RECORD
- Publication year
2019
- Venue
Journal of The Optical Society of America A-optics Image Science and Vision
- Publication date
2019-11-01
- Fields of study
Medicine, Physics, Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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