Euler's Elastica and Curvature-Based Inpainting
By Jianhong Shen, S. Kang, Tony F. Chan. SIAM Journal on Applied Mathematics, 2003
673 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/50e2646744ae197f7746a64988a186dcc0b43eb2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Stanley J. Osher
- Jian-Feng Cai
- Zuowei Shen
- Selim Esedoglu
- David Tschumperlé
- Tony F. Chan
- Mohamed-Jalal Fadili
- Rachid Deriche
In Computer Vision and Pattern Recognition
- Stanley J. Osher
- Lei Zhang
- Luc Van Gool
- Jian-Feng Cai
- Daniel Cremers
- Ming-Hsuan Yang
- Zuowei Shen
- Andrew Zisserman
Citations in the corpus
- A Combined First and Second Order Variational Approach for Image Reconstruction (2012, neutral): “ kX 2nD(u u 0)k 2 + kvk 1 + kwk 1; such that u= ~u, v= r~u, w= r2u~. We refer the reader to [57] for the details. In Figure 14 we compare our method with harmonic and Euler’s elastica inpainting, see [25, 67]. In the case of harmonic inpainting the regulariser is the square of the L2 norm of the gra”
- A framelet-based image inpainting algorithm (2008, methodology): “Many useful techniques have been proposed in recent years to address the problem, see, for example, [1–3,9,11–15,26,27, 29,38].”
- Vector-valued image regularization with PDEs: a common framework for different applications (2005, positive): “Color image inpainting : Image inpainting, recently proposed in [4, 7 , 8, 9] consists in filling undesired holes (defined by the user) in images by interpolating the data located at the hole’s neighborhood.”
- Inpainting and Zooming Using Sparse Representations (2009, methodology): “By functionalizing Euler’s elastica energy, Masnou and Morel [1, 2], proposed an elastica-based variational inpainting model, and [13] developed its mathematical foundation and a PDE computational scheme.”
- Variational PDE models in image processing (2002, methodology): “In the last integrand, the curvature is given by . (Notice that in the absence of the curvature term, the above formula is exactly the co-area formula for smooth functions [31].) This elastica prior model was first studied for inpainting by Masnou and Morel [35], and Chan, Kang, and Shen [ 11 ], and”
- Inpainting of Binary Images Using the Cahn–Hilliard Equation (2007, methodology): “[ 7 ] H. B. Barlow, C. Blakemore, and J. D. Pettigrew, “The neural mech-”
- Primal‐dual active set methods for Allen–Cahn variational inequalities with nonlocal constraints (2010, methodology): “Other variational models are for example the Euler elastica model [38], the active contour model [114] which is based on the Mumford-Shah segmentation problem, but also higher order variational approaches.”
- Optical flow modeling and computation: A survey (2015, methodology): “Inpainting methods can be coarsely divided into two classes, diffusion-based methods [24, 56] and exemplar-based methods [6, 68, 151].”
- A level set formulation for Willmore flow (2004, methodology): “Furthermore, curvature based inpainting methods have been proposed by Masnou, Morel [24] [2] and Chan et al. [8].”
- Space-Time Completion of Video (2007, background): “, [5], [6], [22]) was defined in a principled way as an edge continuation process, but is restricted to small (narrow) missing image portions in highly structured image data.”
- Variable Exponent, Linear Growth Functionals in Image Restoration (2006, background): “6) also has direct application in image processing, as it can be used for image interpolation [13, 27], also referred to as noise-free image inpainting [8, 17, 18].”