Compensated convexity methods for approximations and interpolations of sampled functions in euclidean spaces: Applications to contour lines, sparse data, and inpainting

Autor: Antonio Orlando, Kewei Zhang, Elaine Crooks
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Matemáticas
General Mathematics
Inpainting
INTERPOLATION
02 engineering and technology
01 natural sciences
Convexity
HIGH DENSITY SALT \& PEPPER NOISE REDUCTION
Maximum principle
Mathematics - Metric Geometry
Euclidean geometry
FOS: Mathematics
0202 electrical engineering
electronic engineering
information engineering

Applied mathematics
90C25
90C26
49J52
52A41
65K10

IMAGE INPAINTING
0101 mathematics
Mathematics
Sparse matrix
CONTOUR LINES
Quantitative Biology::Biomolecules
HAUSDORFF STABILITY
Applied Mathematics
010102 general mathematics
SCATTERED DATA
Regular polygon
CONVEX DENSITY RADIUS
Metric Geometry (math.MG)
Matemática Aplicada
INPAINTING
Ciencias de la Computación
COMPENSATED CONVEX TRANSFORMS
Contour line
Computer Science::Computer Vision and Pattern Recognition
Ciencias de la Computación e Información
020201 artificial intelligence & image processing
MAXIMUM PRINCIPLE
CIENCIAS NATURALES Y EXACTAS
Interpolation
APPROXIMATION
ISSN: 1936-4954
DOI: 10.1137/17M116152X
Popis: This paper is concerned with applications of the theory of approximation and interpolation based on compensated convex transforms developed in [K. Zhang, E. Crooks, A. Orlando, Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean spaces: Theoretical Foundations. SIAM Journal on Mathematical Analysis 48 (2016) 4126-4154]. We apply our methods to $(i)$ surface reconstruction starting from the knowledge of finitely many level sets (or `contour lines'); $(ii)$ scattered data approximation; $(iii)$ image inpainting. For $(i)$ and $(ii)$ our methods give interpolations. For the case of finite sets (scattered data), in particular, our approximations provide a natural triangulation and piecewise affine interpolation. Prototype examples of explicitly calculated approximations and inpainting results are presented for both finite and compact sets. We also show numerical experiments for applications of our methods to high density salt and pepper noise reduction in image processing, for image inpainting and for approximation and interpolations of continuous functions sampled on finitely many level sets and on scattered points.
Accepted to appear in SIAM Journal on Imaging Sciences
Databáze: OpenAIRE