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Photographic Noise Performance Measures Based on RAW Files Analysis of Consumer Cameras

Instituto de Telecomunicaciones y Aplicaciones Multimedia (ITEAM), Departamento de Comunicaciones, Universitat Politècnica de València, 46022 Valencia, Spain
Electronics 2019, 8(11), 1284; https://doi.org/10.3390/electronics8111284
Received: 30 September 2019 / Revised: 21 October 2019 / Accepted: 31 October 2019 / Published: 4 November 2019
(This article belongs to the Section Computer Science & Engineering)
Photography is being benefited from the huge improvement in CMOS image sensors. New cameras extend the dynamic range allowing photographers to take photos with a higher quality than they could imagine one decade ago. However, the existence of different technologies make more complicated the photographic analysis of how to determine the optimal camera exposure settings. In this paper, we analyze how the different noise models are translated to different signal to noise S N R curve patterns and which factors are relevant. In particular, we discuss profoundly the relationships between exposure settings (shutter speed, aperture and ISO). Since a fair comparison between cameras can be tricky because of different pixel size, sensor format or ISO scale definition, we explain how the pixel analysis of a camera can be translated to a more helpful universal photographic noise measure based on human perception and common photography rules. We analyze the RAW files of different camera models and show how the noise performance analysis ( S N R and dynamic range) interact with photographer’s requirements. View Full-Text
Keywords: photography; CMOS image sensor; noise; signal to noise ratio; dynamic range photography; CMOS image sensor; noise; signal to noise ratio; dynamic range
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Igual, J. Photographic Noise Performance Measures Based on RAW Files Analysis of Consumer Cameras. Electronics 2019, 8, 1284.

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