Estimation of the noise level function in natural images using the tree of shapes


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Nowadays, a lot of applications need to know the noise level in an image. A method had already been developped to know the noise level function in an image using the detection of homogeneous blocks and has been extended to the detection of homogeneous shapes, using the tree of shapes, which fits better the image content. However, this method is limited to grayscale images. So we aim to extend this estimation to color images, the pixels being multivariate.