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Removing noise from astronomical images using a pixel-specific noise model

机译:使用像素特定的噪声模型消除天文图像中的噪声

摘要

For digital photographs of astronomical objects, where exposure times are usually long and ISO settings high, the so-called dark-current is a significant source of noise. Dark-current refers to thermally generated electrons and is therefore present even in the absence of light. This paper presents a novel approach for denoising astronomical images that have been corrupted by dark-current noise. Our method relies on a probabilistic description of the dark-current of each pixel of a given camera. The noise model is then combined with an image prior which is adapted to astronomical images. In a laboratory environment, we use a black and white CCD camera containing a cooling unit and show that our method is superior to existing methods in terms of root mean squared error. Furthermore, we show that our method is practically relevant by providing visually more appealing results on astronomical photographs taken with a single lens reflex CMOS camera.
机译:对于天文物体的数码照片,通常曝光时间长且ISO设置高,所谓的暗电流是重要的噪声源。暗电流是指热产生的电子,因此即使在没有光的情况下也存在。本文提出了一种新方法,用于对已被暗电流噪声破坏的天文图像进行消噪。我们的方法依赖于给定相机每个像素暗电流的概率描述。然后将噪声模型与适合于天文图像的图像进行组合。在实验室环境中,我们使用了带有冷却单元的黑白CCD相机,结果表明我们的方法在均方根误差方面优于现有方法。此外,我们通过在单镜头反射式CMOS相机拍摄的天文照片上提供视觉上更具吸引力的结果,表明我们的方法在实际中具有实用性。

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