Analysis and Extension of the PCA Method, Estimating a Noise Curve from a Single Image

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 u...

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Bibliographic Details
Main Authors: Miguel Colom, Antoni Buades
Format: Article
Language:English
Published: Image Processing On Line 2016-12-01
Series:Image Processing On Line
Online Access:http://www.ipol.im/pub/art/2016/124/