Adaptive smoothing respecting feature directions

Authors:
R. A. Carmona;Sifen Zhong
Affiliations:
Dept. of Civil Eng. & Oper. Res., Princeton Univ., NJ;-
Venue:
IEEE Transactions on Image Processing
Year:
1998

Citing 0
Cited 16

The Poisson equation for image texture modelling

Pattern Recognition Letters
Adaptive Smoothing via Contextual and Local Discontinuities

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Anisotropic Smoothing of Multi-Valued Images using Curvature-Preserving PDE's

International Journal of Computer Vision
Color Photo Denoising Via Hue, Saturation and Intensity Diffusion

ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
An Anisotropic Fourth-Order Partial Differential Equation for Noise Removal

SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Properties of Higher Order Nonlinear Diffusion Filtering

Journal of Mathematical Imaging and Vision
Ramp preserving Perona-Malik model

Signal Processing
Combining curvature motion and edge-preserving denoising

SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
A new GVF-based image enhancement formulation for use in the presence of mixed noise

Pattern Recognition
Robust processing of optical flow of fluids

IEEE Transactions on Image Processing
Morphological Amoebas Are Self-snakes

Journal of Mathematical Imaging and Vision
An Anisotropic Fourth-Order Diffusion Filter for Image Noise Removal

International Journal of Computer Vision
Wireless capsule endoscopy images enhancement via adaptive contrast diffusion

Journal of Visual Communication and Image Representation
Curvature-Preserving regularization of multi-valued images using PDE's

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Shock coupled fourth-order diffusion for image enhancement

Computers and Electrical Engineering
Gradient-based Wiener filter for image denoising

Computers and Electrical Engineering

Quantified Score

Hi-index	0.01

Visualization

Abstract

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