Abstract
This model can then be used in any progressive stochastic global illumination method in order to estimate the noise level of different parts of any image. A comparative study of this model with a simple test image demonstrates the good consistency between an added noise value and the results from the noise estimator.
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Bigand, A., Dehos, J., Renaud, C., Constantin, J. (2018). No-Reference Methods and Fuzzy Sets. In: Image Quality Assessment of Computer-generated Images. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-73543-6_6
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