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首页> 外文期刊>Measurement Science & Technology >High dynamic range colour imaging using complementary metal-oxide-semiconductor (CMOS) sensors with non-destructive readout
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High dynamic range colour imaging using complementary metal-oxide-semiconductor (CMOS) sensors with non-destructive readout

机译:使用具有无损读数的互补金属氧化物半导体(CMOS)传感器进行高动态范围彩色成像

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摘要

We present a novel colour reconstruction approach for a high dynamic range camera based on a CMOS sensor with non-destructive readout. The output of such a sensor consists of a sequence of noisy mosaic images that can be combined to create a colour image having a high dynamic range. We show that intuitive sequential processing, where dynamic range enhancement is followed by conventional demosaicing, is prone to introduce extra errors due to 'stepped gradient' artefacts and residual system noise. We propose an alternative joint reconstruction algorithm that utilizes all available data to improve the quality of the resulting full colour image. Conventional colour reconstruction quality evaluation, camera noise tests and visual observations show that the proposed method does not produce 'stepped gradient' artefacts and generally outperforms a sequential approach based on traditional demosaicing routines for a wide range of system noise values. It also provides a steady increase in dynamic range when the number of non-destructive samples grows.
机译:我们提出了一种基于具有无损读数的CMOS传感器的高动态范围相机的新颖色彩重建方法。这种传感器的输出由一系列有噪声的马赛克图像组成,这些图像可以组合以创建具有高动态范围的彩色图像。我们展示了直观的顺序处理,其中动态范围增强之后是传统的去马赛克处理,由于“阶梯式梯度”伪像和残留的系统噪声,很容易引入额外的错误。我们提出了一种替代联合重建算法,该算法利用所有可用数据来提高所得全彩色图像的质量。常规的色彩重建质量评估,相机噪声测试和视觉观察表明,该方法不会产生“阶梯梯度”伪像,并且通常在较大范围的系统噪声值方面优于基于传统去马赛克例程的顺序方法。当非破坏性样本的数量增加时,它还可以动态增加动态范围。

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