On Advances in Statistical Modeling of Natural Images
Journal of Mathematical Imaging and Vision
Refinement criteria based on f-divergences
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Information-Theoretic Active Polygons for Unsupervised Texture Segmentation
International Journal of Computer Vision
Multisensor Image Registration via Implicit Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
A multiscale approach to pixel-level image fusion
Integrated Computer-Aided Engineering
EURASIP Journal on Applied Signal Processing
On some entropy functionals derived from Rényi information divergence
Information Sciences: an International Journal
Nonextensive Entropic Image Registration
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Joint brain parametric T1-map segmentation and RF inhomogeneity calibration
Journal of Biomedical Imaging
Squigraphs for fine and compact modeling of 3-D shapes
IEEE Transactions on Image Processing
AM-GM difference based adaptive sampling for Monte Carlo global illumination
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
Multiphase joint segmentation-registration and object tracking for layered images
IEEE Transactions on Image Processing
Multiresolution image registration based on tree data structures
Graphical Models
An information-theoretic method for multimodality medical image registration
Expert Systems with Applications: An International Journal
Simultaneous nonrigid registration of multiple point sets and atlas construction
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Graph-theoretic image alignment using topological features
CompIMAGE'10 Proceedings of the Second international conference on Computational Modeling of Objects Represented in Images
Multimodality image alignment using information-theoretic approach
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
| Hi-index | 35.69 |
Entropy-based divergence measures have shown promising results in many areas of engineering and image processing. We define a new generalized divergence measure, namely, the Jensen-Renyi (1996, 1976) divergence. Some properties such as convexity and its upper bound are derived. Based on the Jensen-Renyi divergence, we propose a new approach to the problem of image registration. Some appealing advantages of registration by Jensen-Renyi divergence are illustrated, and its connections to mutual information-based registration techniques are analyzed. As the key focus of this paper, we apply Jensen-Renyi divergence for inverse synthetic aperture radar (ISAR) image registration. The goal is to estimate the target motion during the imaging time. Our approach applies Jensen-Renyi divergence to measure the statistical dependence between consecutive ISAR image frames, which would be maximal if the images are geometrically aligned. Simulation results demonstrate that the proposed method is efficient and effective.