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Multi–Scale Synthesized View Assessment Based on Morphological Pyramids Cover

Multi–Scale Synthesized View Assessment Based on Morphological Pyramids

Open Access
|Mar 2016

References

  1. [1] BOSC, E.—PEPION, R.—Le CALLET, P.—KOPPEL, M.—NDJIKI-NYA, P.—PRESSIGOUT, M.—MORIN, L. : Towards a New Quality Metric for 3-D Synthesized View Assessment, IEEE Journal on Selected Topics in Signal Processing 05 No. 07 (2011), 1332–1343.10.1109/JSTSP.2011.2166245
  2. [2] CONZE, P. H.—ROBERT, P.—MORIN, L. : Objective View Synthesis Quality Assessment, Proc. SPIE 8288, Stereoscopic Displays and Applications XXIII (2012).
  3. [3] BATTISTI, F.—BOSC, E.—CARLI, M.—Le CALLET, P.—PERUGIA, S. : Objective Image Quality Assessment of 3D Synthesized Views, Elsevier Signal Processing: Image Communication 30 No. 01 (2015), 78–88.
  4. [4] ADELSON, E.—SIMONCELLI, E.—FREEMAN, W. : Pyramids and Multiscale Representations, Proc. European Conference on Visual Perception, Paris, Aug 1990.
  5. [5] WANG, Z.—SIMONCELLI, E.—BOVIK, A. C. : Multi-Scale Structural Similarity for Image Quality Assessment, Asilomar Conference on Signals, Systems and Computers, Nov 2003.
  6. [6] WANG, Z.—LI, Q. : Information Content Weighting for Perceptual Image Quality Assessment, IEEE Trans. on Image Processing 20 No. 05 (2011), 1185–1198.10.1109/TIP.2010.2092435
  7. [7] BURT, P. J.—ADELSON, E. H. : The Laplacian Pyramid as a Compact Image Code, IEEE Trans. on Communications 31 No. 04 (1983), 532–540.10.1109/TCOM.1983.1095851
  8. [8] WANG, Z.—SIMONCELLI, E. : Translation Insensitive Image Similarity in Complex Wavelet Domain, Proc. IEEE International Conference on Acoustics, Speech and Signal processing, 2005, pp. 573–576.
  9. [9] MARAGOS, P.—SCHAFER, R. : Morphological Systems for Multidimensional Signal Processing, Proceedings of the IEEE 78 No. 04 (1990), 690–710.10.1109/5.54808
  10. [10] SANDIC-STANKOVIC, D.—KUKOLJ, D.—Le CALLET, P. : DIBR Synthesized Image Quality Assessment based on Morphological Wavelets, International Workshop on Quality of Multimedia Experience QoMEX, Costa Navarino, Greece, 2015.10.1109/QoMEX.2015.7148143
  11. [11] SANDIC-STANKOVIC, D.—KUKOLJ, D.—Le CALLET, P. : DIBR Synthesized Image Quality Assessment based on Morphological Pyramids, 3DTV-CON Immersive and interactive 3D Media Experience over Networks, Lisbon, 2015.10.1109/3DTV.2015.7169368
  12. [12] TOET, A. : A morphological pyramidal image decomposition, Pattern Recognition Letters 09 No. 04 (1989), 255–261.10.1016/0167-8655(89)90004-4
  13. [13] ftp://ftp.ivc.polytech.univ-nantes.fr/IRCCyN_IVC_DIBR_Images IRCCyN/IVC DIBR images database.
  14. [14] STERNBERG, S. : Gray Scale Morphology, Journal on Computer Vision, Graphics and Image Processing 35 No. 03 (1986), 335–355.
  15. [15] HARALICK, R.—STERNBERG, S.—ZHUANG, X. : Image Analysis using Mathematical Morphology, IEEE Trans. on Pattern Analysis and Machine Intelligence 09 No. 04 (1987), 532–550.10.1109/TPAMI.1987.476794121869411
  16. [16] MEYER, F.—MARAGOS, P. : Nonlinear Scale-Space Representation with Morphological Levelings, Journal of Visual Communication and Image Representation 11 No. 02 (2000), 245–265.10.1006/jvci.1999.0447
  17. [17] GOUTSIAS, J.—HEIJMANS, H. : Nonlinear Multiresolution Signal Decomposition Schemes — Part I: Morphological Pyramids, IEEE Trans. on Image Processing 09 No. 11 (2000), 1862–1876.10.1109/83.87720918262923
  18. [18] WANG, Z.—BOVIK, A. : Mean Squared Error: Love it or Leave it, IEEE Signal Processing Magazine 26 No. 01 (2009), 98–117.10.1109/MSP.2008.930649
  19. [19] WANG, Z.—BOVIK, A.—LU, L. : Why is Image Quality Assessment so Difficult, IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Orlando, FL, US, 2002, pp. 3313–3316.10.1109/ICASSP.2002.5745362
  20. [20] https://sites.google.com/site/draganasandicstankovic/code/mp-psnr Matlab code for MP-PSNR.
  21. [21] FEHN, C. : Depth Image based Rendering (DIBR), Compression and Transmission for a New Approach on 3D-TV, Proc. SPIE, Stereoscopic Displays and Applications XV, San Jose, CA, 2004, pp. 93–104.10.1117/12.524762
  22. [22] MORI, Y.—FUKUSHIMA, N.—YENDO, T.—FUJII, T.—TANIMOTO, M. : View Generation with 3D Warping using Depth Information for FTV, Signal Processing: Image Communication 24 No. 1-2 (2009), 65–72.10.1016/j.image.2008.10.013
  23. [23] MULLER, K.—SMOLIC, A.—DIX, K.—MERKLE, P.—KAUFF, P.—WIEGAND, T. : View Synthesis for Advanced 3D Video Systems, EURASIP Journal on image and video processing (2008), doi:10.1155/2008/438148.10.1155/2008/438148
  24. [24] NDJIKI-NYA, P.—KOPPEL, P.—DOSHKOV, M.—LAKSHMAN, H.—MERKLE, P.—MULLER, K.—WIEGANDT. : Depth Image based Rendering with Advanced Texture Synthesis, IEEE Int. Conf. on Multimedia & Expo (2010), 424–429, Suntec City.
  25. [25] KOPPEL, M.—NDJIKI-NYA, P.—DOSHKOV, M.—LAKSHMAN, H.—MERKLE, P.—MULLER, K.—WIEGAND, T. : Temporally Consistent Handling of Disocclusions with Texture Synthesis for Depth-Image-Based Rendering, IEEE Int. Conf. on Image Processing, Hong Kong, 2010, pp. 1809–1812.10.1109/ICIP.2010.5652138
  26. [26] VQEG HDTV Group, Test Plan for Evaluation of Video Quality Models for Use with High Definition TV Content. 2009.
  27. [27] WANG, Z.—BOVIK, A. C. : A Universal Image Quality Index, IEEE Signal Processing Letters 09 No. 03 (2002), 81–84.10.1109/97.995823
  28. [28] WANG, Z.—BOVIK, A. C.—SHEIKH, H. R.—SIMONCELLI, E. : Image Quality Assessment: From Error Visibility to Structural Similarity, IEEE Trans. on Image Processing 13 No. 04 (2004), 600–612.10.1109/TIP.2003.81986115376593
  29. [29] https://ece.uwaterloo.ca/z70wang/research/ssim/ssim_index.m Matlab code for SSIM.
  30. [30] http://www.comlab.uniroma3.it/3DSwIM.html Matlab code for 3DSwIM.
DOI: https://doi.org/10.1515/jee-2016-0001 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Language: English
Page range: 3 - 11
Submitted on: Sep 7, 2015
|
Published on: Mar 17, 2016
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2016 Dragana Sandić-Stanković, Dragan Kukolj, Patrick Le Callet, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.