相邻热像素相互作用引起的图像退化

G. Chapman, Klinsmann J. Coelho Silva Meneses, I. Koren, Z. Koren
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引用次数: 1

摘要

热像素是宇宙射线引起的数字成像传感器缺陷,随着相机老化,这些缺陷以高度依赖于像素大小的速率累积。我们之前开发了一个经验公式,通过幂律预测热像素缺陷密度(缺陷/年/mm2)增长率,像素尺寸的倒数提高到$\sim $3的幂,乘以ISO(增益)的平方根。我们在论文中表明,这种增加的缺陷率导致在一个5x5像素的正方形内出现两个缺陷的可能性更高。在这种情况下,图像创建所需的颜色去马赛克和JPEG图像压缩算法极大地放大了这两个缺陷像素的影响,将损坏扩散到16x16像素区域,并产生显著的颜色变化,导致非常明显的图像退化。我们开发了一个解析广义生日问题公式,以估计在5x5正方形内具有两个缺陷像素的给定概率所需的热像素的数量。对于一台2000万像素的数码单反相机,只有128个热像素产生4.5%的相互作用缺陷像素的概率,即22个相机中有1个。对于4微米像素,在ISO 6400下需要1.4年,在ISO 3200下需要3.2年。
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Image Degradation due to Interacting Adjacent Hot Pixels
Hot Pixels are cosmic ray induced digital imaging sensor defects that accumulate as the camera ages at rates that are highly dependent on pixel size. We previously developed an empirical formula projecting hot pixel defect density (defects/year/mm2) growth rates via a power law, with the inverse of the pixel size raised to the power of $\sim $3, multiplied by the square root of the ISO (gain). We show in this paper that this increasing defect rate results in a higher probability that two defects will occur within a 5x5 pixel square. Under these conditions, the color demosaicing and JPEG image compression algorithms required for picture creation greatly amplify the impact of these two defective pixels, spreading damage to a 16x16 pixel area and creating significant color changes resulting in a very noticeable image degradation. We develop an analytical generalized birthday problem formula in order to estimate the number of hot pixels needed to achieve a given probability of having two defective pixels within a 5x5 square. For a 20 Mpixel DSLR camera, only 128 hot pixels generate a 4.5% probability of such interacting defective pixels, or 1 in 22 cameras. For 4 micron pixels this would occur in 1.4 years at ISO 6400, and in 3.2 years at ISO 3200.
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