A variational model for image texture identification

Autor: Romain Echegut, Loïc Piffet
Přispěvatelé: Mathématiques - Analyse, Probabilités, Modélisation - Orléans (MAPMO), Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO), Piffet, Loïc
Jazyk: angličtina
Rok vydání: 2009
Předmět:
texture extraction
Discretization
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
minimization problem
Variational model
02 engineering and technology
01 natural sciences
bounded hessian (BV2)
Image (mathematics)
bounded variation (BV)
Image texture
0202 electrical engineering
electronic engineering
information engineering
Fixed point algorithm
image
0101 mathematics
Image denoising
Mathematics
ComputingMethodologies_COMPUTERGRAPHICS
Texture (cosmology)
010102 general mathematics
[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]
Identification (information)
Computer Science::Graphics
Computer Science::Computer Vision and Pattern Recognition
020201 artificial intelligence & image processing
[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
Algorithm
Zdroj: Recent Advances in Optimization and its Applications in Engineering ISBN: 9783642125973
Popis: We investigate a model for textured images using a functional minimization problem. We decompose a textured image ud as a sum of two functions u+v, where u is a bounded variation function and v is a “ bounded hessian” function. We also present numerical tests.
Databáze: OpenAIRE
Externí odkaz: