M. Unser

Publications892
h-index99
Citations45,775
Highly Influential Citations2,429
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  • Publications
  • Influence
A pyramid approach to subpixel registration based on intensity
TLDR
We present an automatic subpixel registration algorithm that minimizes the mean square intensity difference between a reference and a test data set, which can be either images (two-dimensional) or volumes (three-dimensional). Expand
  • 2,245
  • 125
  • PDF
Splines: a perfect fit for signal and image processing
  • M. Unser
  • Computer Science
  • IEEE Signal Process. Mag.
  • 1 November 1999
TLDR
The article provides arguments in favor of an alternative approach that uses splines, which is equally justifiable on a theoretical basis, and which offers many practical advantages. Expand
  • 1,681
  • 109
Sampling-50 years after Shannon
  • M. Unser
  • Mathematics
  • Proceedings of the IEEE
  • 1 April 2000
This paper presents an account of the current state of sampling, 50 years after Shannon's formulation of the sampling theorem. The emphasis is on regular sampling, where the grid is uniform. This… Expand
  • 1,308
  • 78
  • PDF
Design and validation of a tool for neurite tracing and analysis in fluorescence microscopy images
TLDR
We developed a semiautomatic neurite tracing technique that can be applied to a wide range of images without changing its parameters. Expand
  • 1,181
  • 67
  • PDF
Deep Convolutional Neural Network for Inverse Problems in Imaging
TLDR
In this paper, we propose a novel deep convolutional neural network (CNN)-based algorithm for solving ill-posed inverse problems. Expand
  • 893
  • 67
  • PDF
Texture classification and segmentation using wavelet frames
  • M. Unser
  • Mathematics, Computer Science
  • IEEE Trans. Image Process.
  • 1 November 1995
TLDR
This paper describes a new approach to the characterization of texture properties at multiple scales using the wavelet transform. Expand
  • 1,516
  • 59
  • PDF
Optimization of mutual information for multiresolution image registration
TLDR
We propose a new method for the intermodal registration of images using a criterion known as mutual information. Expand
  • 728
  • 58
  • PDF
Sum and Difference Histograms for Texture Classification
  • M. Unser
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1986
TLDR
The sum and difference of two random variables with same variances are decorrelated and define the principal axes of their associated joint probability function. Expand
  • 567
  • 52
B-SPLINE SIGNAL PROCESSING: PART I-THEORY
  • 850
  • 48
Automatic tracking of individual fluorescence particles: application to the study of chromosome dynamics
TLDR
We present a new, robust, computational procedure for tracking fluorescent markers in time-lapse microscopy. Expand
  • 427
  • 48
  • PDF
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