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Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an ℓ1 -regularization constraint, which favors sparse solutions in the wavelet dom ...
Institute of Electrical and Electronics Engineers2008
When producing a mosaic of multiple multi-spectral images one needs to harmonize the colours so that the tone transition is smooth from one image to the other. Given two images Im(a) and Im(b), a transform T is sought to map Im(b) to an image that is harmo ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008
A new approach to quantitative single-molecule imaging by confocal laser scanning microscopy (CLSM) is presented. it relies on fluorescence intensity distribution to analyze the molecular occurrence statistics captured by digital imaging and enables direct ...
When producing a mosaic of multiple multi-spectral images one needs to harmonize the colours so that the tone transition is smooth from one image to the other. Given two images Ima and Imb , a transform T is sought to map Imb ...
We relate compressed sensing (CS) with Bayesian experimental design and provide a novel efficient approximate method for the latter, based on expectation propagation. In a large comparative study about linearly measuring natural images, we show that the si ...
Visual behavior recognition is currently a highly active research area. This is due both to the scientific challenge posed by the complexity of the task, and to the growing interest in its applications, such as automated visual surveillance, human-computer ...
We present an algorithm for the tracking of a variable number of 3D persons in a multi-camera setting with partial field-of-view overlap. The multi-object tracking problem is posed in a Bayesian framework and relies on a joint multi-object state space with ...
In this work, we propose a new image rotation algorithm. The main feature of our approach is the symmetric reversibility, which means that when using the same algorithm for the converse operation, then the initial data is recovered exactly. To that purpose ...
Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. In this paper we present a novel method to determine salient regions in images using low-level features of lumina ...
A rapid acquisition method for two-dimensional (2D) magnetic resonance force microscopy images is described. Spatial resolution is based on gradients in the static magnetic field B0 and in the applied radiofrequency field B1. Hadamard- and Fourier-encoding ...