[IPOL discuss] [IPOL announce] new article: Analysis and Extension of the PCA Method, Estimating a Noise Curve from a Single Image

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2016/124/

Miguel Colom, and Antoni Buades,
Analysis and Extension of the PCA Method, Estimating a Noise Curve from 
a Single Image,
Image Processing On Line, 6 (2016), pp. 365–390.
https://doi.org/10.5201/ipol.2016.124

Abstract
In the article 'Image Noise Level Estimation by Principal Component 
Analysis', S. Pyatykh, J. Hesser, and L. Zheng propose a new method to 
estimate the variance of the noise in an image from the eigenvalues of 
the covariance matrix of the overlapping blocks of the noisy image. 
Instead of using all the patches of the noisy image, the authors propose 
an iterative strategy to adaptively choose the optimal set containing 
the patches with lowest variance. Although the method measures uniform 
Gaussian noise, it can be easily adapted to deal with signal-dependent 
noise, which is realistic with the Poisson noise model obtained by a 
CMOS or CCD device in a digital camera.




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