SpectralEdge Image Visualisation

许多重要的成像应用程序从多个来源或通道捕获图像。例如，卫星成像系统捕捉电磁光谱的可见光和红外线部分的图像：红外线通道有助于减轻雾霾对场景内容的模糊影响，并有助于区分在可见光光谱中原本会混淆的特征。然而，捕捉多幅图像的关键问题是，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)，而且往往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一步改变。这项技术最大限度地增加了所传达的信息，同时保证了无人工制品的产出。该技术是一种平台型技术，具有广阔的应用前景。然而，在这项提案中，我们针对的是一个具体的问题：将彩色图像与红外线融合，以便在安全和国防部门应用，因为在这些领域，对这种技术有直接和直接的需求。该项目的一个关键目标将是开发适合这些最终用户需求的原型软件。

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.