SpectralEdge Image Visualisation

许多重要的成像应用程序从多个源或通道捕获图像。例如，卫星成像系统在电磁波谱的可见光和红外线部分中捕获图像：红外线通道有助于减轻薄雾在模糊场景内容方面的影响，并有助于区分在可见光谱中否则会混淆的特征。然而，捕获多个图像的关键问题是，额外的信息增加了用户的认知负荷（或自动算法的计算负荷），并且通常会阻碍而不是帮助快速决策。因此，人们投入了大量的精力来寻找将多幅图像融合成一幅易于理解的图像的方法。SpectralEdge图像可视化旨在实现在一幅图像中可视化来自多个来源或渠道的信息的能力的飞跃。该技术最大限度地提高了所传达的信息，同时保证了无伪影输出。该技术是一种平台技术，具有广泛的应用前景。然而，在本提案中，我们针对一个具体问题：将彩色图像与红外线融合，用于安全和国防部门的应用，这些领域对这项技术有着直接和直接的需求。该项目的一个关键目标是开发符合这些最终用户需要的原型软件。

A number of important imaging applications capture images from multiple sources, or channels. For example, satellite imaging systems capture images in both the visible and infra-red parts of the electromagnetic spectrum: the infra-red channels help to mitigate the effect of haze in obscuring the scene content, and help discriminate between features that are otherwise confounded in the visible-spectrum. The key problem, however, with capturing multiple images is that the extra information increases the cognitive load on the user (or computational load on automated algorithms), and can often hinder, rather than help, rapid decision making. As a result, a significant amount of effort has been put into finding ways to fuse multiple images into a single, easy to understand, image.SpectralEdge Image Visualisation aims to deliver a step change in the ability to visualise information from multiple sources, or channels, in a single image. The technology maximises the information that is conveyed while, at the same time, guaranteeing artefact free outputs. The technology is a platform technology, and has a wide scope for potential application. In this proposal, however, we target a specific problem: fusing colour images with infra-red for applications in the security and defence sectors, where there is an immediate and direct need for this technology. A key objective of this project will be to develop prototype software that is tailored to the needs of these end-users.