Journal Article10.1049/IP-VIS:19990238
Estimation of image noise variance
K. Rank,M. Lendl,Rolf Unbehauen +2 more
- 01 Apr 1999
- Vol. 146, Iss: 2, pp 80-84
283
TL;DR: A novel algorithm for estimating the noise variance of an image that is assumed to be corrupted by Gaussian distributed noise and an ensemble of 128 natural and artificial test images is used to compare with several previously published estimation methods.
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Abstract: A novel algorithm for estimating the noise variance of an image is presented. The image is assumed to be corrupted by Gaussian distributed noise. The algorithm estimates the noise variance in three steps. At first the noisy image is filtered by a horizontal and a vertical difference operator to suppress the influence of the (unknown) original image. In a second step a histogram of local signal variances is computed. Finally a statistical evaluation of the histogram provides the desired estimation value. For a comparison with several previously published estimation methods an ensemble of 128 natural and artificial test images is used. It is shown that with the novel algorithm more accurate results can be achieved.
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Citations
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No-reference image quality assessment based on BNB measurement
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TL;DR: Experimental results show that the image quality score obtained by the BNB method has higher correlation with human perceptual score and the method needs much less computation, compared to existing no-reference image quality assessment methods.
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Noise variance estimation in digital images using iterative fuzzy procedure
Arianna Mencattini,Marcello Salmeri,S. Bertazzoni,Adelio Salsano +3 more
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TL;DR: A novel method, called IFP (Iterative Fuzzy Procedure), suitable to get a very good estimation of the noise variance, which represents the noise power, in the case the noise has a Gaussian distribution.
6
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An Introduction to Ray tracing
Andrew Glassner
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TL;DR: An Introduction to Ray Tracing is an excellent reference dedicated completely to ray tracing, and presents in detail many of the design considerations one might consider when implementing a ray tracing system.