Advances in Mathematical Methods for Image and Signal Processing

Variational Methods in Signal and Image Processing

Abstract: This paper provides an overview of the applications that calculus of variations found in two major fields of interest, namely signal processing and image processing. We will describe the significant role of calculus of variations in modeling and optimizing a variety of signal and image processing problems. Specifically, the key role of calculus of variations in deriving the worst-case...

Bayesian Methods in Signal and Image Processing

SUMMARY In this paper, an overview of Bayesian methods and models in signal and image processing is given. The rst part of the paper reviews some traditional classes of model employed for signal processing time series analysis. Marginal inference based upon analytic integration of hyperparameters is described for these models and illustrations are given for the problem of estimating sinusoidal ...

Mathematical Methods in Medical Image Processing.

In this paper, we describe some central mathematical problems in medical imaging. The subject has been undergoing rapid changes driven by better hardware and software. Much of the software is based on novel methods utilizing geometric partial differential equations in conjunction with standard signal/image processing techniques as well as computer graphics facilitating man/machine interactions....

Mathematical Methods Applied to Digital Image Processing

This Article is brought to you for free and open access by the Electrical & Computer Engineering at ODU Digital Commons. It has been accepted for inclusion in Electrical & Computer Engineering Faculty Publications by an authorized administrator of ODU Digital Commons. For more information, please contact [email protected]. Repository Citation Liu, Yi-Hung; Chen, Chung Hao; and C.P. Chao, P...

Signal and image processing methods for imaging mass spectrometry data