Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Pattern Analysis and Applications
Erschienen in: Pattern Analysis and Applications 2/2014

01.05.2014 | Short Paper

Exemplar-based color image inpainting: a fractional gradient function approach

verfasst von: Anamandra Sai Hareesh, V. Chandrasekaran

Erschienen in: Pattern Analysis and Applications | Ausgabe 2/2014

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Image inpainting is the art of recovering a plausible image from images which are generally incomplete due to various factors, including degradation due to ageing, damage due to wear and tear and missing image details due to occlusion. In such situations, there is a need to predict the missing image information without introducing undesirable artifacts. Original contribution in this direction is due to a seminal paper by Criminisi et al. This has led to a number of novel contributions in terms of patch filling prioritization and associated metrics to measure color and structure. In this paper, we propose a fast and simple technique based on a novel gradient function and its generalization via fractional derivatives to evaluate the filling order prioritization. Results demonstrate superior and robust performance over all the recent advances in the domain of exemplar-based methods quoted in the literature.
Vorheriger Artikel A robust and outlier-adaptive method for non-rigid point registration
Nächster Artikel Bayesian classification and unsupervised learning for isolating weeds in row crops

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Kanizsa G (1979) Organization in vision. Praeger, New York
2.
German S, German D (1984) Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. IEEE Trans Pattern Anal Mach Intell 6:721–741CrossRef
3.
Zhu SC, Wu YN, Mumford D (1997) Minimax entropy principle and its applications to texture modeling. Neural Comput 9:1627–1660CrossRef
4.
Criminisi A, Perez P, Toyama K (2004) Region filling and object removal by exemplar-based image inpainting. IEEE Trans Image Process 13(9):1200–1212CrossRef
5.
Wu J, Ruan Q (2006) Object removal by cross isophotes exemplar-based inpainting. In: International conference on pattern recognition (ICPR), vol 3, pp 810–813
6.
Chen Q, Zhang YX, Liu Y (2007) Image inpainting with improved exemplar-based approach. In: International workshop on multimedia content analysis and mining. LNCS, vol 4577, pp 242–251
7.
Kwok T-H, Wang CCL (2009) Interactive image inpainting using DCT based exemplar matching. In: Advances in visual computing, 5th international symposium, ISVC. Lecture notes in computer science, vol 5876 , pp 709–718
8.
Driori I, Cohen-Or D, Yeshurun H (2003) Fragment-based image completion. ACM Trans Graph 22(3):303–312CrossRef
9.
Jianbing Shen CZ, Jin X, Wang CC (2007) Gradient based image completion by solving the poisson equation. Comput Graph 31:119–126CrossRef
10.
Rane SD, Sapiro G, Bertalmio M (2003) Structure and texture filling-in of missing image blocks in wireless transmission and compression applications. IEEE Trans Image Process 12:296–303CrossRefMathSciNet
11.
Rane SD, Remus J, Sapiro G (2002) Wavelet-domain reconstruction of lost blocks in wireless image transmission and packet-switched networks. In: IEEE international conference on image processing
12.
Bertalmio M, Sapiro G, Caselles V, Ballester C (2000) Image inpainting. In: ACM SIGGRAPH conference on computer graphics, pp 417–424
13.
Efros A, Leung T (1999) Texture synthesis by non-parametric sampling. In: International conference on computer vision, pp 1033–1038
14.
Bertalmio M, Vese L, Sapiro G, Osher S (2003) Simultaneous structure and texture image inpainting. IEEE Trans Image Process 12(8):882–889CrossRef
15.
Vese LA, Osher SJ (2003) Modeling textures with total variation minimization and oscillating patterns in image processing. J Sci Comput 3:553–572CrossRefMathSciNet
16.
Meyer Y (2001) Oscillating patterns in image processing and nonlinear evolution equations. University Lecture Series 22
17.
Yamauchi H, Haber J, Seidel H-P (2003) Image restoration using multiresolution texture synthesis and image inpainting. In: Computer graphics international, pp 120–125
18.
Wei L, Levoy M (2002) Order-independent texture synthesis. Tech. rep., Computer Science Department Stanford University
19.
Grossauer H (2004) A combined PDE and texture synthesis approach to inpainting. In: European conference on computer vision, pp 214–224
20.
Grossauer H, Scherzer O (2003) Using the complex Ginzburg–Landau equation for digital inpainting in 2D and 3D. In: Scale space methods in computer vision. LNCS, vol 2695, pp 225–236
21.
Weikert J (1998) Anisotropic diffusion in image processing. In: European consortium for mathematics in industry
22.
Wei L-Y, Levoy M (2000) Fast texture synthesis using tree-structured vector quantization. In: Computer graphics, pp 479–488
23.
Bugeau A, Bertalmio M, Caselles V, Sapiro G (2009) A unified framework for image inpainting. In: IMA preprint series
24.
Podlubny I (1999) Fractional differential equations. Mathematics in science and engineering, vol 198. Academic Press, New York
25.
Chandrasekaran V, Palaniswami M, Caelli TM (1996) Range image segmentation by dynamic neural network architecture. Pattern Recognit 29:315–329CrossRef
26.
Khanna S, Chandrasekaran V (2012) Fractional derivative filter for image contrast enhancement with order prediction. In: The IET image processing conference
27.
Wang Z, Bovik AC, Shiek HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600–612
28.
Seregin GA (1997) Some remarks on variational problems for functionals with l in l growth. J Math Sci 84(1):919–929CrossRefMathSciNet
29.
Devi Varaprasad V, Chandrasekaran V (2009) Performance assessment of algorithms for generation of high resolution colour images. In: IEEE international conference on emerging trends in computing, pp 19–23
Metadaten
Titel
Exemplar-based color image inpainting: a fractional gradient function approach
verfasst von
Anamandra Sai Hareesh
V. Chandrasekaran
Publikationsdatum
01.05.2014
Verlag
Springer London
Erschienen in
Pattern Analysis and Applications / Ausgabe 2/2014
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-012-0316-4

Weitere Artikel der Ausgabe 2/2014

Pattern Analysis and Applications 2/2014 Zur Ausgabe

Industrial and Commercial Application

Gaussian weak classifiers based on co-occurring Haar-like features for face detection

Industrial and Commercial Application

Fast training procedure for Viola–Jones type object detectors using Laplacian clutter models

Theoretical Advances

LS-SVM-based image segmentation using pixel color-texture descriptors

Theoretical Advances

Variable factorization model based on numerical optimization for hyperspectral anomaly detection

Theoretical Advances

An evolutionary decoding method for HMM-based continuous speech recognition systems using particle swarm optimization

Short Paper

A robust and outlier-adaptive method for non-rigid point registration

Premium Partner

    Bildnachweise