An adaptive image inpainting method based on euler's elastica with adaptive parameters estimation and the discrete gradient method
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An adaptive image inpainting method based on euler's elastica with adaptive parameters estimation and the discrete gradient method
Authors
Keywords
Image inpainting, Euler's elastica, Variational model, Structure tensor, Parameter estimation, Discrete gradient, Image restoration
Journal
SIGNAL PROCESSING
Volume 178, Issue -, Pages 107797
Publisher
Elsevier BV
Online
2020-09-08
DOI
10.1016/j.sigpro.2020.107797
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An adaptive method for image restoration based on high-order total variation and inverse gradient
- (2020) Dang N. H. Thanh et al. Signal Image and Video Processing
- Melanoma Skin Cancer Detection Method Based on Adaptive Principal Curvature, Colour Normalisation and Feature Extraction with the ABCD Rule
- (2019) Dang N. H. Thanh et al. JOURNAL OF DIGITAL IMAGING
- Adaptive total variation L1 regularization for salt and pepper image denoising
- (2019) Dang Ngoc Hoang Thanh et al. OPTIK
- Euler Elastica Regularized Logistic Regression for Whole-Brain Decoding of fMRI Data
- (2018) Chuncheng Zhang et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Euler’s elastica and curvature based model for image restoration
- (2018) Mushtaq Ahmad Khan et al. PLoS One
- Markov random field-based image inpainting with direction structure distribution analysis for maintaining structure coherence
- (2018) Jixiang Cheng et al. SIGNAL PROCESSING
- Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
- (2018) Hongyi Li et al. AUTOMATICA
- Image Inpainting Using Nonlocal Texture Matching and Nonlinear Filtering
- (2018) Ding Ding et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Discrete gradient methods for solving variational image regularisation models
- (2017) V Grimm et al. Journal of Physics A-Mathematical and Theoretical
- Implementation of high-order variational models made easy for image processing
- (2016) Wenqi Lu et al. MATHEMATICAL METHODS IN THE APPLIED SCIENCES
- Multiscale Tikhonov-Total Variation Image Restoration Using Spatially Varying Edge Coherence Exponent
- (2015) V. B. Surya Prasath et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting
- (2015) Kyong Hwan Jin et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Image Segmentation Using Euler’s Elastica as the Regularization
- (2013) Wei Zhu et al. JOURNAL OF SCIENTIFIC COMPUTING
- Making a “Completely Blind” Image Quality Analyzer
- (2012) A. Mittal et al. IEEE SIGNAL PROCESSING LETTERS
- Analyzing and removing SureSign watermark
- (2012) Li Li et al. SIGNAL PROCESSING
- Fuzzy-adapted linear interpolation algorithm for image zooming
- (2009) Hsiang-Chieh Chen et al. SIGNAL PROCESSING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started