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Table 1 The horizontal and vertical frequencies \(\nu _{x}^{0}\) and \(\nu _{y}^{0}\) are respectively given in the top and the bottom part of the table. For each parameter, it gives the true value, the prior interval and the estimated values. They are clearly very closed to the true ones

From: Unsupervised joint deconvolution and segmentation method for textured images: a Bayesian approach and an advanced sampling algorithm

  Texture 1 Texture 2 Texture 3
True 0 0.2 0.2
Prior [ −0.2; + 0.2] [ + 0.1; + 0.5] [ + 0.1; + 0.5]
Estimate 0.00011 0.20412 0.19687
True 0 −0.2 0.2
Prior [ −0.2; + 0.2] [ −0.5; −0.1] [ + 0.1; + 0.5]
Estimate 0.00034 −0.20134 0.20223