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Title of Journal: J Math Imaging Vis

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Abbravation: Journal of Mathematical Imaging and Vision

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Kluwer Academic Publishers

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DOI

10.1007/bf02442466

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ISSN

1573-7683

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Improving Derichestyle Recursive Gaussian Filters

Authors: Gunnar Farnebäck CarlFredrik Westin
Publish Date: 2006/11/30
Volume: 26, Issue: 3, Pages: 293-299
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Abstract

Gaussian smoothing filters and Gaussian derivative filters can be estimated by recursive IIR filters as shown by Deriche 3 4 The design of those filters does however not enforce the important property that derivative filters should have an exactly zero DCresponse This article extends the theory in 4 to take this constraint into account without loss of performance and also gives new compact closed form expressions for the normalization factors required for proper scaling of the filter responses

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  2. Generalized Fourier Descriptors with Applications to Objects Recognition in SVM Context
  3. A Unified Framework for Detecting Groups and Application to Shape Recognition
  4. Homogeneous Penalizers and Constraints in Convex Image Restoration
  5. Statistical Multiresolution Estimation for Variational Imaging: With an Application in Poisson-Biophotonics
  6. Statistical Tests of Anisotropy for Fractional Brownian Textures. Application to Full-field Digital Mammography
  7. Block Based Deconvolution Algorithm Using Spline Wavelet Packets
  8. Variational Texture Synthesis with Sparsity and Spectrum Constraints
  9. A Multi-Orientation Analysis Approach to Retinal Vessel Tracking
  10. Full Multiresolution Active Shape Models
  11. Image Denoising Using Directional Adaptive Variable Exponents Model
  12. Sparse Representation Shape Models
  13. Efficient Binary Tomographic Reconstruction
  14. Incremental Principal Component Pursuit for Video Background Modeling
  15. Multivariate Median Filters and Partial Differential Equations
  16. Unified Computation of Strict Maximum Likelihood for Geometric Fitting
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