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Proceedings Paper

Temporal image stacking for noise reduction and dynamic range improvement
Author(s): Kalin Atanassov; James Nash; Sergio Goma; Vikas Ramachandra; Hasib Siddiqui
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Paper Abstract

The dynamic range of an imager is determined by the ratio of the pixel well capacity to the noise floor. As the scene dynamic range becomes larger than the imager dynamic range, the choices are to saturate some parts of the scene or “bury” others in noise. In this paper we propose an algorithm that produces high dynamic range images by “stacking” sequentially captured frames which reduces the noise and creates additional bits. The frame stacking is done by frame alignment subject to a projective transform and temporal anisotropic diffusion. The noise sources contributing to the noise floor are the sensor heat noise, the quantization noise, and the sensor fixed pattern noise. We demonstrate that by stacking images the quantization and heat noise are reduced and the decrease is limited only by the fixed pattern noise. As the noise is reduced, the resulting cleaner image enables the use of adaptive tone mapping algorithms which render HDR images in an 8-bit container without significant noise increase.

Paper Details

Date Published: 7 March 2013
PDF: 10 pages
Proc. SPIE 8667, Multimedia Content and Mobile Devices, 86671P (7 March 2013); doi: 10.1117/12.2008559
Show Author Affiliations
Kalin Atanassov, Qualcomm Inc. (United States)
James Nash, Qualcomm Inc. (United States)
Sergio Goma, Qualcomm Inc. (United States)
Vikas Ramachandra, Qualcomm Inc. (United States)
Hasib Siddiqui, Qualcomm Inc. (United States)

Published in SPIE Proceedings Vol. 8667:
Multimedia Content and Mobile Devices
Reiner Creutzburg; Todor G. Georgiev; Dietmar Wüller; Cees G. M. Snoek; Kevin J. Matherson; David Akopian; Andrew Lumsdaine; Lyndon S. Kennedy, Editor(s)

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