Rzhanov Yuri, Lowell Kim
Center for Coastal and Ocean Mapping, University of New Hampshire, Durham, NH 03824, USA.
J Imaging. 2024 Oct 8;10(10):247. doi: 10.3390/jimaging10100247.
Color is an important cue in object recognition and classification problems. In underwater imagery, colors undergo strong distortion due to light propagation through an absorbing and scattering medium. Distortions depend on a number of complex phenomena, the most important being wavelength-dependent absorption and the sensitivity of sensors in trichromatic cameras. It has been shown previously that unique reconstruction in this case is not possible-at least for a simplified image formation model. In this paper, the authors use numerical simulations to demonstrate that this statement also holds for the underwater image formation model that is currently the most sophisticated.
颜色是物体识别和分类问题中的一个重要线索。在水下图像中，由于光在吸收和散射介质中传播，颜色会发生强烈的失真。失真取决于许多复杂现象，其中最重要的是与波长相关的吸收以及三色相机中传感器的灵敏度。先前已经表明，在这种情况下不可能进行唯一重建——至少对于简化的图像形成模型是这样。在本文中，作者使用数值模拟来证明这一说法对于目前最复杂的水下图像形成模型也成立。
