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A Psychophysical Experiment Evaluating the Color and Spatial Image Quality of Several Multispectral Image Capture Techniques

机译:评估几种多光谱图像捕获技术的颜色和空间图像质量的心理物理实验

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Theoretically, there can be a compromise between color and spatial image quality for multispectral imaging: Increasing the number of channels increases spectral and colorimetric accuracy, that is, color quality increases; decreasing the number of channels reduces image noise and other spatial artifacts, that is, spatial image quality increases. Two paired comparison psychophysical experiments were performed to scale color and spatial image quality in order to better understand this compromise. Test targets, a watercolor painting, and several dioramas were imaged using three-, six-, and 31-channel image acquisition systems. One of the three-channel systems was a professional grade trichromatic digital camera; the other systems used the identical research grade sensor. For the six- and 31-channel images, both direct pseudoinverse based transformations and the use of principal component analysis were used to convert from digital to spectral data. The spectral data were used to render colorimetric images. Pseudoinverse transformations were used to convert the three-channel images to colorimetry. Twenty-seven observers judged, successively, color and spatial image quality of colorimetric images rendered for an LCD display compared with objects viewed in a light booth. The targets were evaluated under simulated daylight (6800K) and incandescent (2700K) illumination and the visual data were transformed to quality scales using Thurstone's law of comparative judgments, Case V. The first experiment evaluated color image quality. Under simulated daylight, the subjects judged all of the images to have the same color accuracy, except the professional camera image that was significantly worse. Under incandescent illumination, all the images, including the professional camera, had equivalent performance. The second experiment evaluated spatial image quality. The results of this experiment were highly target dependent. A subsequent image registration experiment showed that the results of the spatial image quality experiment were affected by image registration to some degree. For both experiments, there was high observer uncertainty and poor data normality. Dual scaling and a graphical analysis of observer response data were used as alternate techniques to Thurstone's Law. These techniques yielded similar results to the Thurstone-based quality scales. The uncertainty was caused by insufficient ambiguity between images. A simultaneous analysis of the color and spatial image quality results for the research grade sensor indicated that the most preferred image types were the 31-channel images. Thus, it is possible for multispectral images with many channels to achieve similar color and spatial image quality to systems with just a few channels. The theoretical compromise between color and spatial image quality as the number of channels increased was not observed under these experimental conditions.
机译:从理论上讲,多光谱成像的颜色和空间图像质量之间可能会有所折衷:增加通道数会提高光谱和比色法的准确性,也就是说,颜色质量会提高;减少通道数量可减少图像噪声和其他空间伪影,即空间图像质量会提高。为了更好地理解这种折衷,进行了两个成对的比较心理物理实验,以缩放颜色和空间图像质量。使用三通道,六通道和31通道图像采集系统对测试目标,一幅水彩画和几个立体投影成像。三通道系统之一是专业级三基色数码相机。其他系统使用相同的研究等级传感器。对于六通道和31通道图像,基于直接伪逆的转换和主成分分析的使用都可以从数字数据转换为光谱数据。光谱数据用于渲染比色图像。伪逆变换用于将三通道图像转换为比色法。二十七位观察者相继判断了为LCD显示器渲染的比色图像的色彩和空间图像质量,与在灯房中看到的物体相比。在模拟日光(6800K)和白炽灯(2700K)照明下评估目标,并使用瑟斯通比较判断定律(案例V)将视觉数据转换为质量标度。第一个实验评估彩色图像质量。在模拟的日光下,受试者会判断所有图像具有相同的色彩准确度,但专业相机的图像则明显较差。在白炽灯照明下,包括专业相机在内的所有图像均具有相同的性能。第二个实验评估了空间图像质量。该实验的结果高度依赖靶标。随后的图像配准实验表明,空间图像质量实验的结果在一定程度上受到图像配准的影响。对于这两个实验,观察者不确定性都很高,数据正常性也很差。双重缩放和观察者响应数据的图形分析被用作瑟斯顿定律的替代技术。这些技术产生的结果与基于Thurstone的质量标度相似。不确定性是由于图像之间的歧义不足所致。同时对研究级传感器的色彩和空间图像质量结果进行的分析表明,最优选的图像类型是31通道图像。因此,具有多个通道的多光谱图像有可能获得与仅有几个通道的系统相似的色彩和空间图像质量。在这些实验条件下,未观察到随着通道数量的增加颜色和空间图像质量之间的理论折衷。

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