Simulation Of Underwater Color Images Using Banded Spectral Model

Shepelev, Denis; Bozhkova, V. P.; Ershov, Egor; Nikolaev, Dmitry P.

doi:10.7148/2020-0011

Cited by 4 publications

(2 citation statements)

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“…Nevertheless, its importance is remarkable, especially when dealing with challenging environments such as underwater exploration. In fact, the accuracy of most channel-wise light attenuation models in this field depends on the camera sensitivity and color calibration parameters [ 47 ], with the former being an intrinsic camera sensor characteristic. In particular, image quality is related to both camera sensor size and pixel size.…”

Section: Critical Issues In Auv Underwater Imagingmentioning

confidence: 99%

Autonomous Underwater Vehicles: Identifying Critical Issues and Future Perspectives in Image Acquisition

Monterroso Muñoz,

Moron-Fernández,

Cascado-Caballero

et al. 2023

Sensors

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Underwater imaging has been present for many decades due to its relevance in vision and navigation systems. In recent years, advances in robotics have led to the availability of autonomous or unmanned underwater vehicles (AUVs, UUVs). Despite the rapid development of new studies and promising algorithms in this field, there is currently a lack of research toward standardized, general-approach proposals. This issue has been stated in the literature as a limiting factor to be addressed in the future. The key starting point of this work is to identify a synergistic effect between professional photography and scientific fields by analyzing image acquisition issues. Subsequently, we discuss underwater image enhancement and quality assessment, image mosaicking and algorithmic concerns as the last processing step. In this line, statistics about 120 AUV articles fro recent decades have been analyzed, with a special focus on state-of-the-art papers from recent years. Therefore, the aim of this paper is to identify critical issues in autonomous underwater vehicles encompassing the entire process, starting from optical issues in image sensing and ending with some issues related to algorithmic processing. In addition, a global underwater workflow is proposed, extracting future requirements, outcome effects and new perspectives in this context.

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Section: Critical Issues In Auv Underwater Imagingmentioning

confidence: 99%

Autonomous Underwater Vehicles: Identifying Critical Issues and Future Perspectives in Image Acquisition

Monterroso Muñoz,

Moron-Fernández,

Cascado-Caballero

et al. 2023

Sensors

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“…According to [38], for any banded model there exists a linear mapping from the model parameters space to the color space, represented as a matrix with columns from the color cone. The converse is also true, i.e.…”

Section: Banded Spectral Modelmentioning

confidence: 99%

On the properties of some low-parameter models for color reproduction in terms of spectrum transformations and coverage of a color triangle

Kroshnin,

Vasilev,

Ershov

et al. 2021

Preprint

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One of the classical approaches to solving color reproduction problems, such as color adaptation or color space transform, is the use of low-parameter spectral models. The strength of this approach is the ability to choose a set of properties that the model should have, be it a large coverage area of a color triangle, an accurate description of the addition or multiplication of spectra, knowing only the tristimulus corresponding to them. The disadvantage is that some of the properties of the mentioned spectral models are confirmed only experimentally. This work is devoted to the theoretical substantiation of various properties of spectral models. In particular, we prove that the banded model is the only model that simultaneously possesses the properties of closure under addition and multiplication. We also show that the Gaussian model is the limiting case of the von Mises model and prove that the set of protomers of the von Mises model unambiguously covers the color triangle in both the case of convex and non-convex spectral locus.

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