Denoising time-of-flight data with adaptive total variation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6938 LNCS, Issue PART 1, 2011, Pages 337-346

  Lenzen, Frank ^a,b   Schäfer, Henrik ^a,b   Garbe, Christoph ^a,b  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b SAARLAND UNIVERSITY   (Germany)

Author keywords

Adaptive Total Variation; Denoising; Higher Order Regularization; Time of flight

Indexed keywords

ADAPTIVITY; DE-NOISING; DENOISING METHODS; DEPTH MAP; GEOMETRIC PROPERTIES; HIGHER ORDER REGULARIZATION; SECOND ORDERS; STRUCTURE TENSORS; TIME-OF-FLIGHT; TIME-OF-FLIGHT DATA; TOTAL VARIATION;

NOISE POLLUTION CONTROL;

EID: 80053351334     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24028-7_31     Document Type: Conference Paper

References (25)

1. Aurich, V., Weule, J.: Non-linear Gaussian filters performing edge preserving diffusion. In: Proceed. 17. DAGM-Symposium (1995)
2. Bredies, K., Kunisch, K., Pock, T.: Total Generalized Variation. SIAM J. Imaging Sciences 3(3), 492-526 (2010)
3. Buades, A., Coll, B., Morel, J.M.: A review of image denoising algorithms, with a new one. Multiscale Model. Simul. 4(2), 490-530 (2005)
4. Chambolle, A., Lions, P.-L.: Image recovery via total variation minimization and related problems. Numerische Mathematik 76, 167-188 (1997)
5. Chan, D., Buisman, H., Theobalt, C., Thrun, S.: A noise-aware filter for real-time depth upsampling. In: Proc. of ECCV Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications, pp. 1-12 (2008)
6. Edeler, T., Ohliger, K., Hussmann, S., Mertins, A.: Time-of-flight depth image denoising using prior noise information. In: Proceedings ICSP, pp. 119-122 (2010)
7. Frank, M., Plaue, M., Hamprecht, F.A.: Denoising of continuous-wave time-of-flight depth images using confidence measures. Optical Engineering 48 (2009)
8. Frank, M., Plaue, M., Rapp, K., Köthe, U., Jähne, Hamprecht, F.A.: Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras. Optical Engineering 48(1), 13602 (2009)
9. Grasmair, M., Lenzen, F.: Anisotropic Total Variation Filtering. Appl. Math. Optim. 62(3), 323-339 (2010)
10. Schöner, H., Moser, B., Dorrington, A.A., Payne, A.D., Cree, M.J., Heise, B., Bauer, F.: A clustering based denoising technique for range images of time of flight cameras. In: CIMCA/IAWTIC/ISE 2008, pp. 999-1004 (2008)
11. Jovanov, L., Pizurica, A., Philips, W.: Fuzzy logic-based approach to wavelet denoising of 3D images produced by time-of-flight cameras. Opt. Express 18, 22651-22676 (2010)
12. Kindermann, S., Osher, S., Jones, P.W.: Deblurring and denoising of images by nonlocal functionals. Multiscale Model. Simul. 4(4), 1091-1115 (2005) (electronic)
13. Köthe, U.: Edge and junction detection with an improved structure tensor. In: Michaelis, B., Krell, G. (eds.) DAGM 2003. LNCS, vol. 2781, pp. 25-32. Springer, Heidelberg (2003)
14. Lenzen, F., Becker, F., Lellmann, J., Petra, S., Schnörr, C.: Variational image denoising with constraint sets. In: Proceedings SSVM (in press, 2011)
15. Moser, B., Bauer, F., Elbau, P., Heise, B., Schöner, H.: Denoising techniques for raw 3D data of ToF cameras based on clustering and wavelets. In: Proc. SPIE, vol. 6805 (2008)
16. Paris, S., Durand, F.: A fast approximation of the bilateral filter using a signal processing approach. Technical report, MIT - CSAIL (2006)
17. Plaue, M.: Analysis of the PMD imaging system. Technical report, Interdisciplinary Center for Scientific Computing, University of Heidelberg (2006)
18. Rudin, L.I., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Phys. D 60(1-4), 259-268 (1992)
19. Scherzer, O.: Denoising with higher order derivatives of bounded variation and an application to parameter estimation. Computing 60, 1-27 (1998)
20. Schmidt, M., Jähne, B.: A physical model of time-of-flight 3D imaging systems, including suppression of ambient light. In: Kolb, A., Koch, R. (eds.) Dyn3D 2009. LNCS, vol. 5742, pp. 1-15. Springer, Heidelberg (2009)
21. Setzer, S., Steidl, G., Teuber, T.: Infimal convolution regularizations with discrete l1-type functionals. Comm. Math. Sci. 9, 797-872 (2011)
22. Steidl, G., Teuber, T.: Anisotropic smoothing using double orientations. In: Proceedings SSVM 2009, pp. 477-489 (2009)
23. Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: Proceedings of the Sixth International Conference on Computer Vision (ICCV 1998), p. 839 (1998)
24. Weiss, B.: Fast median and bilateral filtering. ACM Trans. Graph. 25(3), 519-526 (2006)
25. Proceedings of ACM SIGGRAPH 2006