MATEC Web of Conferences
Volume 42, 20162015 The 3rd International Conference on Control, Mechatronics and Automation (ICCMA 2015)
|Number of page(s)||5|
|Section||Image processing and Applications|
|Published online||17 February 2016|
A Novel Image Noise Level Function Estimation Approach using Camera Response Function Constraint
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, 200093 Shanghai, China
In this paper, we propose a noise level evaluation method for real captured photos. Different from conventional noise removal methods that assume noise follow a simply additive Gaussian distribution, noise distribution in our method is supposed to be a more sophisticated intensity-dependent distribution, which has a better fit with actual noise model. Follow the definition of noise level function (NLF) which represents the variation of the standard deviation of noise with respect to image intensity. After exposing the close relationship between NLF and camera response function (CRF), we fit the curve of NLF with the constraints imposed by the shape of CRF.
Index Terms— image noise estimation, noise level function, camera response function
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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