Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature-oriented image enhancement using shock filters
SIAM Journal on Numerical Analysis
Image selective smoothing and edge detection by nonlinear diffusion
SIAM Journal on Numerical Analysis
Signal and image restoration using shock filters and anisotropic diffusion
SIAM Journal on Numerical Analysis
Generalized gradient vector flow external forces for active contours
Signal Processing - Special issue on deformable models and techniques for image and signal processing
Coherence-Enhancing Diffusion Filtering
International Journal of Computer Vision
Multiscale Texture Enhancement
CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
Adaptive vector median filtering
Pattern Recognition Letters
NGVF: An improved external force field for active contour model
Pattern Recognition Letters
Speckle reduction and structure enhancement by multichannel median boosted anisotropic diffusion
EURASIP Journal on Applied Signal Processing
Image feature enhancement based on the time-controlled total variation flow formulation
Pattern Recognition Letters
Image enhancement and denoising by complex diffusion processes
IEEE Transactions on Pattern Analysis and Machine Intelligence
A unified approach to noise removal, image enhancement, and shape recovery
IEEE Transactions on Image Processing
Adaptive smoothing respecting feature directions
IEEE Transactions on Image Processing
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Forward-and-backward diffusion processes for adaptive image enhancement and denoising
IEEE Transactions on Image Processing
GVF-based anisotropic diffusion models
IEEE Transactions on Image Processing
Image decomposition via learning the morphological diversity
Pattern Recognition Letters
Fast gradient vector flow computation based on augmented Lagrangian method
Pattern Recognition Letters
Computers & Mathematics with Applications
Journal of Visual Communication and Image Representation
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This paper is concerned with the introduction of a new gradient vector flow (GVF) field formulation that shows increased robustness in the presence of mixed noise and with its evaluation when included in the development of image enhancement algorithms. In this regard, the main contribution associated with this work resides in the development of an adaptive image enhancement framework that couples the anisotropic diffusion models with the adaptive median filtering that is designed for the restoration of digital images corrupted with mixed noise. To further illustrate the advantages associated with the proposed GVF field formulation, additional experiments are conducted when the proposed strategy is applied in the construction of anisotropic models for texture enhancement.