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Signal to Noise Ratio and Visual Noise of Mobile Phone Cameras

机译:手机摄像头的信噪比和视觉噪声

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摘要

Recently, ISO standard 15739:2013 revealed the first official visual noise metrics. Until now, signal to noise ratio (SNR) has been used the most as the noise measurement metric for digital cameras, but according to several research studies it does not represent the visual perception of noise included in images. This article investigates the differences between SNR based noise measurements and visual noise measurements when real mobile phone cameras are measured. The work contains the following tasks. Firstly, the improvements between old and new standards are detailed. Secondly, the noise measurements are executed, testing 20 mobile phones using three different light environments. Finally, the results are compared between different noise measurement algorithms and conclusions are drawn. The result of this work gives detailed noise measurement results for mobile phone camera systems on the market. Total and visual noise metrics are measured, also corresponding ISO speed and exposure parameters are stored and correlations between noise levels and parameters are calculated. The differences between noise metrics are summarized and perceptual inspection is made of the images which have clear differences between total and visual noise. (C) 2015 Society for Imaging Science and Technology.
机译:最近,ISO标准15739:2013揭示了第一个官方的视觉噪声指标。到目前为止,信噪比(SNR)一直被用作数码相机的噪声测量指标,但是根据多项研究研究,它并不代表图像中包含的噪声的视觉感知。本文研究了在测量实际手机摄像头时基于SNR的噪声测量与视觉噪声测量之间的差异。该工作包含以下任务。首先,详细介绍了新旧标准之间的改进。其次,执行噪声测量,使用三种不同的光照环境测试20部手机。最后,比较了不同噪声测量算法的结果,并得出了结论。这项工作的结果给出了市场上手机摄像头系统的详细噪声测量结果。测量总体和视觉噪声指标,还存储相应的ISO速度和曝光参数,并计算噪声水平和参数之间的相关性。总结了噪声度量之间的差异,并对总噪声和视觉噪声之间有明显差异的图像进行了感知检查。 (C)2015年影像科学与技术学会。

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