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Information capacity: a measure of potential image quality of a digital camera

机译:信息容量:衡量数码相机潜在图像质量的方法

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The aim of the paper is to define an objective measurement for evaluating the performance of a digital camera. The challenge is to mix different flaws involving geometry (as distortion or lateral chromatic aberrations), light (as luminance and color shading), or statistical phenomena (as noise). We introduce the concept of information capacity that accounts for all the main defects than can be observed in digital images, and that can be due either to the optics or to the sensor. The information capacity describes the potential of the camera to produce good images. In particular, digital processing can correct some flaws (like distortion). Our definition of information takes possible correction into account and the fact that processing can neither retrieve lost information nor create some. This paper extends some of our previous work where the information capacity was only defined for RAW sensors. The concept is extended for cameras with optical defects as distortion, lateral and longitudinal chromatic aberration or lens shading.
机译:本文的目的是定义一个客观的评估数字相机性能的测量。挑战在于将涉及几何形状(如失真或横向色差),光(如亮度和色差)或统计现象(如噪声)的不同缺陷混合在一起。我们引入了信息容量的概念,该概念解决了所有主要缺陷,而这些缺陷是在数字图像中所观察不到的,并且可能是由于光学器件或传感器引起的。信息容量描述了相机产生优质图像的潜力。特别是,数字处理可以纠正一些缺陷(例如失真)。我们对信息的定义考虑了可能的更正,以及处理既不能检索丢失的信息也不能创建某些信息这一事实。本文扩展了我们以前的一些工作,在这些工作中,仅针对RAW传感器定义了信息容量。该概念已扩展到具有光学缺陷(如变形,横向和纵向色差或镜头阴影)的相机。

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