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