Deblurring digital images by means of polynomial transforms
Computer Vision, Graphics, and Image Processing
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spot noise texture synthesis for data visualization
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Ten lectures on wavelets
Generic Neighborhood Operators
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of edge parameters and image blur using polynomial transforms
CVGIP: Graphical Models and Image Processing
Adaptive contrast enhancement through residue-image processing
Signal Processing
An objective measure for perceived noise
Signal Processing
Image representation and compression with steered Hermite transforms
Signal Processing
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Geometry-Driven Diffusion in Computer Vision
Geometry-Driven Diffusion in Computer Vision
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
A single-ended blockiness measure for JPEG-Coded images
Signal Processing
Optic-Flow Information Extraction with Directional Gaussian-Derivatives
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Texture Feature Extraction and Indexing by Hermite Filters
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Scale-space image analysis based on Hermite polynomials theory
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Local orientation analysis in images by means of the Hermite transform
IEEE Transactions on Image Processing
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
Accurate image rotation using Hermite expansions
IEEE Transactions on Image Processing
Advances in Rotation-Invariant Texture Analysis
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Time-frequency analysis of signals using support adaptive Hermite-Gaussian expansions
Digital Signal Processing
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With this survey on the Hermite transformation we want to pursue the following two goals. First, we want to provide a comprehensive and up-to-date description of the Hermite transformation, its underlying philosophy, and its most important properties and their implications for applications. As so often when publications and development go hand-in-hand, new insights have led to changes in or generalizations of already published results, and not all of these changes have been considered sufficiently substantial to be published separately. As a consequence, the existing publications on the Hermite transformation do not fully reflect our most recent insights, and the current paper intends to remedy this. Second, we also want to share some new results. Two specific new results, that is, partial signal decompositions and intersection curvatures, are therefore treated in more detail than other aspects.