Adaptive smoothing respecting feature directions

@article{Carmona1998AdaptiveSR,
  title={Adaptive smoothing respecting feature directions},
  author={R. Carmona and S. Zhong},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={1998},
  volume={7 3},
  pages={
          353-8
        }
}
  • R. Carmona, S. Zhong
  • Published 1998
  • Mathematics, Computer Science, Medicine
  • IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Accurate extraction of the image feature directions is essential to image smoothing and other image processing tasks. We show that the gradient-based feature direction extraction method can be very erroneous. The gradient is too local, and it cannot detect oscillations. We have developed two new methods: the Hessian method, an approach using higher order differentiations, and the Gabor (1946) method, an approach using space-frequency analysis. 
119 Citations
Effective image noise removal based on difference eigenvalue
  • 27
Difference Eigenvalue Based Gaussian Noise Variance Estimation for Images
  • PDF
Noise removal using smoothed normals and surface fitting
  • 214
  • PDF
Partial differential equation diffusion in complex domain
  • L. Li, J. Wu
  • Mathematics, Computer Science
  • 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
  • 2016
  • 2
On the Convergence of Bilateral Filter for Edge-Preserving Image Smoothing
  • 20
Blind image deconvolution with spatially adaptive total variation regularization.
  • 63
Adaptive smoothing via contextual and local discontinuities
  • Ke Chen
  • Mathematics, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2005
  • 106
  • PDF
Image denosing by curvature strength diffusion
  • 4
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 16 REFERENCES
Scale-Space and Edge Detection Using Anisotropic Diffusion
  • 12,107
  • PDF
Multiscale Texture Enhancement
  • 119
  • PDF
Conservative image transformations with restoration and scale-space properties
  • 19
Theoretical Foundations of Anisotropic Diffusion in Image Processing
  • J. Weickert
  • Computer Science, Mathematics
  • Theoretical Foundations of Computer Vision
  • 1994
  • 312
Affine invariant detection: edges, active contours, and segments
  • P. Olver, G. Sapiro, A. Tannenbaum
  • Mathematics, Computer Science
  • Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • 1996
  • 23
  • PDF
From active contours to anisotropic diffusion: connections between basic PDE's in image processing
  • G. Sapiro
  • Mathematics, Computer Science
  • Proceedings of 3rd IEEE International Conference on Image Processing
  • 1996
  • 53
Vector-valued active contours
  • G. Sapiro
  • Mathematics, Computer Science
  • Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • 1996
  • 86
Localized measurement of emergent image frequencies by Gabor wavelets
  • 184
...
1
2
...