Matches in SemOpenAlex for { <https://semopenalex.org/work/W793953807> ?p ?o ?g. }
- W793953807 abstract "This thesis is addressing a series of inverse problems of major importance in the fieldof image processing (image segmentation, model choice, parameter estimation, deconvolution)in the context of textured images. In all of the aforementioned problems theobservations are indirect, i.e., the textured images are affected by a blur and by noise. Thecontributions of this work belong to three main classes: modeling, methodological andalgorithmic. From the modeling standpoint, the contribution consists in the development of a newnon-Gaussian model for textures. The Fourier coefficients of the textured images are modeledby a Scale Mixture of Gaussians Random Field. The Power Spectral Density of thetexture has a parametric form, driven by a set of parameters that encode the texture characteristics.The methodological contribution is threefold and consists in solving three image processingproblems that have not been tackled so far in the context of indirect observationsof textured images. All the proposed methods are Bayesian and are based on the exploitingthe information encoded in the a posteriori law. The first method that is proposed is devotedto the myopic deconvolution of a textured image and the estimation of its parameters.The second method achieves joint model selection and model parameters estimation froman indirect observation of a textured image. Finally, the third method addresses the problemof joint deconvolution and segmentation of an image composed of several texturedregions, while estimating at the same time the parameters of each constituent texture.Last, but not least, the algorithmic contribution is represented by the development ofa new efficient version of the Metropolis Hastings algorithm, with a directional componentof the proposal function based on the”Newton direction” and the Fisher informationmatrix. This particular directional component allows for an efficient exploration of theparameter space and, consequently, increases the convergence speed of the algorithm.To summarize, this work presents a series of methods to solve three image processingproblems in the context of blurry and noisy textured images. Moreover, we present twoconnected contributions, one regarding the texture models andone meant to enhance theperformances of the samplers employed for all of the three methods." @default.
- W793953807 created "2016-06-24" @default.
- W793953807 creator A5023290682 @default.
- W793953807 date "2014-09-19" @default.
- W793953807 modified "2023-09-23" @default.
- W793953807 title "Inversion for textured images : unsupervised myopic deconvolution, model selection, deconvolution-segmentation" @default.
- W793953807 cites W11828546 @default.
- W793953807 cites W1580269359 @default.
- W793953807 cites W1583929668 @default.
- W793953807 cites W1637045490 @default.
- W793953807 cites W1638753340 @default.
- W793953807 cites W1804464592 @default.
- W793953807 cites W1817184045 @default.
- W793953807 cites W1828207628 @default.
- W793953807 cites W1844105648 @default.
- W793953807 cites W184688996 @default.
- W793953807 cites W1922851081 @default.
- W793953807 cites W1961448823 @default.
- W793953807 cites W1978238148 @default.
- W793953807 cites W1979926788 @default.
- W793953807 cites W1982839909 @default.
- W793953807 cites W1983927546 @default.
- W793953807 cites W1984297665 @default.
- W793953807 cites W1987216676 @default.
- W793953807 cites W1989457171 @default.
- W793953807 cites W1990119892 @default.
- W793953807 cites W1991233316 @default.
- W793953807 cites W1991274888 @default.
- W793953807 cites W1995780830 @default.
- W793953807 cites W1996726072 @default.
- W793953807 cites W1997678218 @default.
- W793953807 cites W1999478155 @default.
- W793953807 cites W2001082470 @default.
- W793953807 cites W2007360987 @default.
- W793953807 cites W2013848746 @default.
- W793953807 cites W2036576620 @default.
- W793953807 cites W2045656233 @default.
- W793953807 cites W2049075273 @default.
- W793953807 cites W2053321126 @default.
- W793953807 cites W2056760934 @default.
- W793953807 cites W2057765075 @default.
- W793953807 cites W2062119563 @default.
- W793953807 cites W2062373208 @default.
- W793953807 cites W2063304464 @default.
- W793953807 cites W2065301447 @default.
- W793953807 cites W2066548055 @default.
- W793953807 cites W2066844184 @default.
- W793953807 cites W2080744942 @default.
- W793953807 cites W2082261407 @default.
- W793953807 cites W2087831798 @default.
- W793953807 cites W2089366864 @default.
- W793953807 cites W2089696339 @default.
- W793953807 cites W2090920359 @default.
- W793953807 cites W2091290950 @default.
- W793953807 cites W2100902416 @default.
- W793953807 cites W2101186490 @default.
- W793953807 cites W2101897555 @default.
- W793953807 cites W2104210067 @default.
- W793953807 cites W2105850604 @default.
- W793953807 cites W2106706098 @default.
- W793953807 cites W2107167693 @default.
- W793953807 cites W2107216283 @default.
- W793953807 cites W2110638237 @default.
- W793953807 cites W2113945798 @default.
- W793953807 cites W2114407479 @default.
- W793953807 cites W2115979064 @default.
- W793953807 cites W2116617417 @default.
- W793953807 cites W2116716185 @default.
- W793953807 cites W2119300483 @default.
- W793953807 cites W2119695388 @default.
- W793953807 cites W2120272360 @default.
- W793953807 cites W2122768752 @default.
- W793953807 cites W2124086369 @default.
- W793953807 cites W2125027853 @default.
- W793953807 cites W2125436763 @default.
- W793953807 cites W2125637308 @default.
- W793953807 cites W2126174118 @default.
- W793953807 cites W2127006916 @default.
- W793953807 cites W2128104012 @default.
- W793953807 cites W2128428741 @default.
- W793953807 cites W2130524297 @default.
- W793953807 cites W2132677788 @default.
- W793953807 cites W2134275275 @default.
- W793953807 cites W2136796925 @default.
- W793953807 cites W2138156462 @default.
- W793953807 cites W2138205176 @default.
- W793953807 cites W2138309709 @default.
- W793953807 cites W2138565847 @default.
- W793953807 cites W2138598313 @default.
- W793953807 cites W2139606141 @default.
- W793953807 cites W2140207570 @default.
- W793953807 cites W2141376824 @default.
- W793953807 cites W2141943842 @default.
- W793953807 cites W2142034717 @default.
- W793953807 cites W2142635246 @default.
- W793953807 cites W2142907343 @default.
- W793953807 cites W2149498546 @default.
- W793953807 cites W2150120413 @default.
- W793953807 cites W2150920547 @default.
- W793953807 cites W2152652402 @default.