Linear image reconstruction by Sobolev norms on the bounded domain

The reconstruction problem is usually formulated as a variational problem in which one searches for that image that minimizes a so called prior (image model) while insisting on certain image features to be preserved. When the prior can be described by a norm induced by some inner product on a Hilbert space the exact solution to the variational problem can be found by orthogonal projection. In previous work we considered the image as compactly supported in and we used Sobolev norms on the unbounded domain including a smoothing parameter ¿>¿0 to tune the smoothness of the reconstruction image. Due to the assumption of compact support of the original image components of the reconstruction image near the image boundary are too much penalized. Therefore we minimize Sobolev norms only on the actual image domain, yielding much better reconstructions (especially for ¿¿»¿0). As an example we apply our method to the reconstruction of singular points that are present in the scale space representation of an image

Volterra Theory on Time Scales

This paper is concerned with the existence and uniqueness of solutions to generalized Volterra integral equations on time scales. Unlike previous papers published on this subject, we can weaken the continuity property of the kernel function since the method we introduce here to guarantee existence and uniqueness does not make use of the Banach fixed point theorem. This allows us to construct a bridge between the solutions of Volterra integral equations and of dynamic equations. The paper also covers results concerning the following concepts: the notion of the resolvent kernel, and its role in the formulation of the solution, the reciprocity property of kernels, Picard iterates, the relation between linear dynamic equations and Volterra integral equations, and some special types of kernels together with several illustrative examples

Reflections on frequently used viscoplastic constitutive models

The constitutive problems of plasticity and viscoplasticity are considered in detail via an internal variable formulation. The treatment is set within the framework of the generalized standard material model and exploits the appropriate mathematical tools of convex analysis and subdifferential calculus. Furthermore two frequently used viscoplastic constitutive models are analyzed, the Perzyna viscoplastic model and the Duvaut-Lions viscoplastic model. In the existing literature these two models are frequently used as alternatives. In the sequel interesting relations between them are outlined and it is shown that, under particular hypotheses, the Duvaut-Lions model may be regarded as derived from the Perzyna model