Framework for Preserving Salience through Perceptual Differences in Spectral Image Creation and Manipulation: From Scene to Display

大量信息丰富的图像弥漫在我们的社会中。吸收、理解和管理这些信息是一项日常挑战。我研究的第一条途径是创建图像中传达的数据的抽象表示法，仔细地将数据表示法与数据表示法进行映射。太细微的图像数据会模糊背景；太干扰的数据会变成噪声，很容易被忽略。我的研究将考察图像处理算法，这些算法从认知心理学角度考虑前注意处理，并通过检查、记录和表示电磁光谱(包括红外、紫外线、可见光光谱和室内和室外场景中偏振光的捕获)来解决图像表示和创作的问题。

Vast amounts of informative images pervade our society. Assimilating, understanding, and managing this information is a daily challenge. The first avenue of my research creates an abstract representation of the data conveyed in images, carefully mapping data representation to data presentation. Image data that is too subtle blurs into the background; data that is too intrusive turns into noise, which can easily be ignored. My research will examine image processing algorithms that consider pre-attentive processing from cognitive psychology and addressing questions of image representation and creation by examining, recording, and representing the electromagnetic spectrum, including infrared, ultraviolet, visible spectrum and the capture of polarized light in indoor and outdoor scenes.