Image interpolation is a common problem in imaging applications. However, most interpolation algorithms in existence suffer visually to some extent the effects of blurred edges and jagged artifacts in the image. This paper presents an adaptive feature preserving bidirectional flow process, where an inverse diffusion is performed to enhance edges along the normal directions to the isophote lines...

An HMM-based speech synthesis framework is applied to both Standard Austrian German and a Viennese dialectal variety and several training strategies for multi-dialect modeling such as dialect clustering and dialect-adaptive training are investigated. For bridging the gap between processing on the level of HMMs and on the linguistic level, we add phonological transformations to the HMM interpola...

Image interpolation is a common problem in imaging applications. However, most interpolation algorithms in existence suffer visually the effects of blurred edges and jagged artifacts in the image to some extent. This paper presents an adaptive feature preserving bidirectional flow process, where an inverse diffusion is performed to sharpen edges along the normal directions to the isophote lines...

Dr.Ir. E.B. BellersPhilips Semiconductors Sunnyvale (CA)Ir. J. KettenisPhilips Semiconductors Eindhoven A320Ir. O.A. OjoPh. Cons. Electronics Eindhoven SFJ6Ir. D. PiepersPh. Cons. Electronics Brugge (BE), PathoekewegDr. C. CiuhuNat.Lab.WOpDr.Ir. M. BosmaNat.Lab.WOpDr.Ir. P. HofmanNat.Lab.WOpIng. J. TegenboschNat.Lab.<lb...

Analysis of phenomena that simultaneously occur on quite different spatial and temporal scales require adaptive, hierarchical schemes to reduce computational and storage demands. For data represented as grid functions, the key are adaptive, hierarchical, time-dependent grids that resolve spatio-temporal details without too much redundancy. Here, so-called AMR grids gain increasing popularity. F...

a candidate for the degree of Master of Science and hereby certify that in their opinion it is worthy of acceptance. ii Acknowledgments I extend my greatest appreciation to my advisor, Dr. Kannappan Palaniappan, for his constant support and guidance, without which this thesis could not be realized. I thank him for his countless hours, patience, and dedication to this thesis. I also thank Dr. Su...

In this paper an alternative analysis in the time domain is described and the results of the interpolation process are presented by means of functions that are based on the rule of conditional mathematical expectation and the covariance function. A comparison between the interpolation error caused by low order filters and the classic sinc(t) truncated function is also presented. When fewer samp...

This paper presents a new method to increase the available measurement resolution of quadrature encoder signals. The proposed method features an adaptive signal correction phase and an interpolation phase. Typical imperfections in the encoder signals including amplitude difference, mean offsets and quadrature phase shift errors are corrected using recursive least squares with exponential forget...

This paper proposes a novel concept for digital image compression. The resulting compression scheme relies on adaptive thinning algorithms, which are recent multiresolution methods from scattered data approximation. Adaptive thinning algorithms are recursive point removal schemes, which are combined with piecewise linear interpolation over decremental Delaunay triangulations. This paper shows t...

Probabilistic fracture mechanics is a well-established method for predicting the probability-of-fracture (POF) of gas turbine engine rotor disks subject to low-cycle fatigue. An adaptive risk refinement methodology (ARRM) was developed to automate zone discretization and refinement that are typically associated with this approach. ARRM generates initial meshes using an adaptive nodal selection ...