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Modelling and Application of Contrast Enhancement of Visually Indistinct Colours Using Simple Single Band Image Capture Techniques

机译:使用简单的单波段图像捕获技术对视觉上模糊的颜色进行对比度增强的建模和应用

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摘要

The concept of exposure density is used as a general model applied to the recording of two targets. This takes into account the spectral characteristics of all components of the imaging chain and is extended in the form of the System Exposure Response Difference (SERD) that is universally applicable to any imaging system. It provides a means for differentiation between two colours that appear identical and are recorded as being identical. Formulae are presented that model the capture and recording of two targets with both differing and with closely similar spectral reflectances. Excellent agreement is obtained between measured pixel differences and calculated (SERD) values. This method provides a means of modelling the required spectral band to be selected in advance of image capture such that the targets can be differentiated and work carried out in these laboratories on a variety of projects is summarised in this paper. Improvements in image contrast that have been modelled by this approach and applied to medical imaging and related area are included as a case studies. Advantages of this approach in comparison with multiband analysis or with post capture image enhancement techniques are discussed.
机译:曝光密度的概念用作记录两个目标的通用模型。这考虑到了成像链所有组件的光谱特性,并以普遍适用于任何成像系统的系统曝光响应差(SERD)的形式扩展。它提供了一种方法来区分看起来相同并记录为相同的两种颜色。提出了公式来模拟两个目标的捕获和记录,这两个目标具有不同的光谱反射率和非常相似的光谱反射率。在测量的像素差异和计算的(SERD)值之间获得了极好的一致性。该方法提供了一种在建模之前对所需光谱带进行建模的方法,从而可以区分目标,并总结了这些实验室在各种项目上进行的工作。作为案例研究,包括了通过这种方法建模并应用于医学成像及相关领域的图像对比度的改进。讨论了该方法与多频带分析或捕获后图像增强技术相比的优势。

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