Curriculum Vitae Dr. Dimitrios K. Tzovaras



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[J4] D. Tzovaras, N. Grammalidis, M. G. Strintzis, “Object-Based Coding of Stereo Image Sequences Using Joint 3-D Motion/Disparity Compensation”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 7, No. 2, pp. 312-327, April 1997. (48 citations)


  1. Shimizu, S., Kimata, H., & Matsuura, N. (2015). U.S. Patent No. 9,031,339. Washington, DC: U.S. Patent and Trademark Office.

  2. Shimizu, S., & Matsuura, N. (2015). U.S. Patent No. 9,031,338. Washington, DC: U.S. Patent and Trademark Office.

  3. Shimizu, S., & Matsuura, N. (2015). U.S. Patent No. 9,036,933. Washington, DC: U.S. Patent and Trademark Office.

  4. Hachicha, W., Beghdadi, A., & Cheikh, F. A. (2013, September). 1D directional DCT-based stereo residual compression. In Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European (pp. 1-5). IEEE.

  5. Bellaire, G., Steines, D., Graschew, G., Thiel, A., Bernarding, J., Tolxdorff, T., & Schlag, P. M. (2013, March). A Concept to Extend the DICOM Standard to Include Digital Stereoscopic Video Sequences. In Bildverarbeitung für die Medizin 1998: Algorithmen—Systeme—Anwendungen Proceedings des Workshops am 26. und 27. März 1998 in Aachen (p. 234). Springer-Verlag.

  6. Vernon, D. (2012). Fourier vision: segmentation and velocity measurement using the Fourier transform (Vol. 623). Springer Science & Business Media.

  7. Choi, Y. J., Choi, S. H., Yun, K. J., Lee, J., Hahm, Y. K., & Anh, C. (2012). U.S. Patent No. 8,116,369. Washington, DC: U.S. Patent and Trademark Office.

  8. Liu, J., & Przewozny, D. (2012, December). Stereo image segmentation using hybrid. In Noblesse Workshop on Non-Linear Model Based Image Analysis: Proceedings of NMBIA, 1–3 July 1998, Glasgow (p. 33). Springer Science & Business Media.




  1. jung Choi, Yun, et al. "Multi-display supporting multi-view video object-based encoding apparatus and method, and object-based transmission/reception system and method using the same." U.S. Patent No. 8,116,369. 14 Feb. 2012.

  2. Research on Disparity and Background-based Object Segmentation in Stereo Video, Tian-xiao Guan, Shi-gang Wang*, He-xin Chen, Jian Wei and Li-wei Chen, Technological Developments in Education and Automation, 2010, 293-296, DOI: 10.1007/978-90-481-3656-8_54

  3. Perceptual Video Quality Metric for 3D video quality assessment, Joveluro, P.; Malekmohamadi, H.; Fernando, W.A.C.; Kondoz, A.M., 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2010, Issue Date: 7-9 June 2010, On page(s): 1 – 4, Location: Tampere, E-ISBN: 978-1-4244-6378-7

  4. Quality Evaluation of Color Plus Depth Map-Based Stereoscopic Video, Chaminda T. E. R. Hewage, Srewart T.Worrall, Safak Dogan, Stephane Villette, Ahmet M.Kondoz, IEEE Journal of Selected Topics in Signal Processing, Vol.3, No2, April 2009

  5. An inexpensive stereo-image capture tool for motion study, Albert K. Chong , The Photogrammetric Record, Volume 22 Issue 119, Pages 226 – 237, Published Online: 11 Oct 2007, Journal Compilation © 2009 Remote Sensing and Photogrammetry Society and Blackwell Publishing Ltd

  6. A photogrammetric application in virtual sport training, Albert K. Chong*1 and Hayden G. Croft, The Photogrammetric Record, Volume 24 Issue 125, Pages 51 – 65, Published Online: 5 Apr 2009, Journal Compilation © 2009 Remote Sensing and Photogrammetry Society and Blackwell Publishing Ltd

  7. Multiple optical calibration system–based effective multiviews video processing, Kyung-Hoon Bae, SangHoon Park,Si-Ho Cha, Opt. Eng., Vol. 48, 037008 (2009); doi:10.1117/1.3102841, Image Processing.

  8. Fast Disparity and Motion Estimation Based on Correlations for Multiview Video Coding, Xiaoming Li, Debin Zhao, Siwei Ma, and Wen Gao, Consumer Electronics, IEEE Transactions on, Publication Date: November 2008, Volume: 54,  Issue: 4, On page(s): 2037-2044

  9. An improved, wavelet-based, stereoscopic image sequence codec with SNR and spatial scalability , Sumit K. Nath and Eric Dubois, Signal Processing: Image Communication
    Volume 21, Issue 3, March 2006, Pages 181-199

  10. High-speed error resilient stereoscopic video coder, Jian-Hung Lin   Parhi, K.K.  , Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on Publication Date: Oct. 29 2006-Nov. 1 2006, On page(s): 1054-1058

  11. Regularized Stereo Matching Scheme using Adaptive Disparity Estimation, Kyung-Hoon Bae, Jung-Hwan Ko and Eun-Soo Kim, Jpn. J. Appl. Phys. 45 (2006) pp. 4107-4114  

  12. An MPEG-4-Compatible Stereoscopic/Multiview Video Coding Scheme, W.Yang, K.N.Ngan, J.Cai, IEEE Transactions on Circuits and Systems for Video Technology, vol.16, No.2, February 2006.

  13. Interactive approach to reconstruction and visualisation of three-dimensional colour images, Naren Vira , International Journal of Computer Applications in Technology, Volume 22 ,  Issue 4  (April 2005), Pages 172-181 , Year of Publication: 2005

  14. VLSI architectures for stereoscopic video disparity matching and object extraction, Jian-Hung Lin   Parhi, K.K.  , Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on, Publication Date: 23-26 May 2005, On page(s): 2373- 2376 Vol. 3

  15. MPEG-4 Compatible Stereoscopic Sequence Codec for Stereo Broadcasting, Yongtae Kim, Jaeho Lee, Changseob Park and Kwanghoon Sohn, Consumer Electronics, IEEE Transactions on, Publication Date: Nov. 2005, Volume: 51,  Issue: 4, On page(s): 1227- 1236

  16. Multiscale Recurrent Patterns Applied to Stereo Image Coding, Maria H. V. Duarte, Murilo B. Carvalho, Eduardo A. B. da Silva, Carla L. Pagliari, and Gelson V. Mendonça, IEEE TRANSAC, TIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 15NO. 11, NOVEMBER 2005

  17. Multiview Image Compression using Algebraic Constraints, Chaitanya Kamisetty and C. V. Jawahar, TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region, Publication Date: 15-17 Oct. 2003, Volume: 3,  On page(s): 927- 931 Vol.3

  18. Stereo video coding based on quad-tree decomposition of B-P frames by motion and disparity interpolation, Ellinas, J.N.   Sangriotis, M.S.  Vision, Image and Signal Processing, IEE Proceedings - Publication Date: 7 Oct. 2005, Volume: 152,  Issue: 5, On page(s): 639- 647

  19. R. Shukla, “Rate-Distortion Optimized Geometrical Image Processing”, PhD thesis, Department of Computer and Communication Sciences, Swiss Federal Institute of Technology, Lausanne, Switzerland, 2004.

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  21. L. M. J. Meesters, W. A. Ijsselstein, and P. J. H. Seuntiens, “A survey of perceptual evaluations and requirements of threedimensional TV”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, No. 3, March 2004.

  22. AN OVERVIEW OF A NEW EUROPEAN CONSORTIUM: INTEGRATED THREE-DIMENSIONAL TELEVISION – CAPTURE, TRANSMISSION AND DISPLAY (3DTV)*, L. ONURAL, T. SIKORA, A. SMOLIC, Proceedings of European Workshop on the …, 2004

  23. Image Processing Technologies, Algorithms, Sensors, and Applications, Kiyoharu Aizawa, Katsuhiko Sakaue, Yasuhito Suenaga, Copyright 2004, Marcel Dekker, Inc. – Chapter: Compression and Representation of 3-D images, Takeshi Naemura, Masahide Kaneko, Hiroshi Harashima

  24. Adaptive disparity estimation scheme using balanced stereo image sequences, Kyung-Hoon Bae, Yong-Ok Kim, Sang-Woo Lee, and Eun-Soo Kim, Proc. SPIE, Vol. 5006, 367 (2003); doi:10.1117/12.474156, Stereoscopic Image Processing

  25. R. Shukla, H. Radha, and M. Vetterli, “Disparity dependent segmentation based stereo image coding”, Proc. of IEEE International Conference on Image Processing, 2003, Sep 2003.

  26. Stereo Video Coding Based on Interpolated Motion and Disparity Estimation, J. N. Ellinas, M. S. Sangriotis, Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on, Publication Date: 18-20 Sept. 2003, Volume: 1,  On page(s): 301- 306 Vol.1

  27. J. W. Bae, H. C. Park, E. S. Kim, and J. S. Yoo, “Efficient disparity estimation algorithm based on spatial correlation”, Optical Engineering, vol. 42, Issue 1, pp. 176-181, 2003.

  28. R. L. Carceroni and K. N. Kutulakos, “Multi-View Scene Capture by Surfel Sampling: From Video Streams to Non-Rigid 3D Motion, Shape and Reflectance”, International Journal of Computer Vision 49(2/3), 175–214, 2002.

  29. J. Jiang and E. Edirisinghe, “A Hybrid Scheme for Low Bit-Rate Coding of Stereo Images”, IEEE Transactions on Image Processing, Vol. 11, No. 2, Feb. 2002.

  30. R. L. Carceroni, “Recovering Non-Rigid 3D Motion, Shape and Reflectance from Multi-View Image Sequences: A Differential-Geometric Approach”, PhD thesis, Department of Computer Science, University of Rochester, 2001.

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  36. J.Liu, D.Przewozny, S.Pastoor, Layered Representation of Scenes Based on Multiview Image Analysis”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 10, No. 4, pp. 518-529, June 2000.

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  38. Spatiotemporal Spectral Coding of Stereo Image Sequences, FranCoys Labontk, Chon Tam Le Dinh, Jocelyn Faubert and Paul Cohen, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 9, NO. I, FEBRUARY 1999

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[J30] G. A. Triantafyllidis, D. Tzovaras and M. G. Strintzis, "Blocking Artifact Detection and Reduction in Compressed Data", IEEE Trans. on Circuits and Systems for Video Technology, Vol. 12, No. 10, pp. 877-890, Oct. 2002. (75 citations)




  1. Kang, L. W., Hsu, C. C., Zhuang, B., Lin, C. W., & Yeh, C. H. (2015). Learning-Based Joint Super-Resolution and Deblocking for a Highly Compressed Image.

  2. Yang, J., Zhu, G., Huang, J., & Zhao, X. (2015). Estimating JPEG compression history of bitmaps based on factor histogram. Digital Signal Processing, 41, 90-97.

  3. Yoo, S. B., Choi, K., & Ra, J. B. (2014). Post-Processing for Blocking Artifact Reduction Based on Inter-Block Correlation. Multimedia, IEEE Transactions on, 16(6), 1536-1548.

  4. Chacko, S. (2014). Deblocking of Gray Scale Images and Videos Using 3D Spatial Filtering. International Journal on Electrical Engineering and Informatics, 6(2), 421.

  5. Chacko, S., & Jayakumar, J. (2014, February). Deblocking of gray scale images and videos using its negatives. In Electronics and Communication Systems (ICECS), 2014 International Conference on (pp. 1-8). IEEE.

  6. Chacko, S., & Jayakumar, J. (2015). Directional Gaussian filter with variable filtering strength and variable window size for deblocking digital images. International Journal of Information and Communication Technology, 7(4-5), 425-436.

  7. Schoenblum, J. W., McKinney, L. S., & Heinrich, K. W. (2014). U.S. Patent No. 8,638,395. Washington, DC: U.S. Patent and Trademark Office.

  8. Sadasivam, V. (2014). Reduction of artifacts and edge preservation of images.

  9. Zhao, Y. (2014). Maximum Energy Subsampling: A General Scheme For Multi-resolution Image Representation And Analysis.

  10. Himawan, I., Zele, A. J., & Tjondronegoro, D. (2014, July). Adaptive bilateral filtering using saliency map for deblocking low bit rate videos. In Multimedia and Expo (ICME), 2014 IEEE International Conference on (pp. 1-6). IEEE.

  11. Sivakami Sundari, K. (2014). Reduction of artifacts and edge preservation of images.

  12. Jiménez Herranz, J. M. (2014). Estudio de la variación de QoE en Televisión IP cuando varían los parámetros de QoS (Doctoral dissertation).

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  27. Classification-based motion vector processing for motion compensated frame interpolation using block boundary distortion metric, Quang Vinh Truong; Young-Chul Kim, Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on, Issue Date: 26-28 Feb. 2010 On page(s): 488 – 491, Location: Singapore, Print ISBN: 978-1-4244-5585-0

  28. JPEG Error Analysis and Its Applications to Digital Image Forensics, Weiqi Luo; Jiwu Huang; Guoping Qiu, Information Forensics and Security, IEEE Transactions on, Issue Date: Sept. 2010, Volume: 5 Issue:3, On page(s): 480 – 491, ISSN: 1556-6013

  29. Requantization transcoding for H.264/AVC video coding, Jan De Cock, Stijn Notebaert, Peter Lambert and Rik Van de Walle, Signal Processing: Image Communication, Volume 25, Issue 4, April 2010, Pages 235-254

  30. An efficient spatio-temporal boundary matching algorithm for video error concealment, Youjun Xiang, Liangmou Feng, Shengli Xie and Zhiheng Zhou, Multimedia Tools and Applications , January 2010,DOI: 10.1007/s11042-009-0457-7Online First™

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  33. Mehta, Tejas, and Pooja Shah. "A post-processing algorithm for Detection & Removal of Corner Outlier." International Journal of Computer Applications IJCA4.2 (2010): 9-16.

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  35. Mohammed, U. S. Blocking Artifact Detection and Reduction in Transform-Coded Images Based on Maximum EntropyApproach.

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  37. HWAN, L. M. (2010). Video artefacts in mobile imaging devices.

  38. Mohammed, U. S. (2010, December). A pixel-domain post-processing technique to reduce the blocking artifacts in transform-coded images. In Signal Processing and Information Technology (ISSPIT), 2010 IEEE International Symposium on (pp. 266-270). IEEE.

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  40. Algorithm for Blocking Artifact Detection & Reduction using adaptive filtering in Compressed Images, Singh, K. and Kumar, P., IJAEST, 2010.

  41. Ramponi, G., & Abate, L. (2009, February). Robust measurement of the blocking artefact. In IS&T/SPIE Electronic Imaging (pp. 72450K-72450K). International Society for Optics and Photonics.

  42. Seo, J., Kim, D., & Sohn, K. (2009, February). Compressed stereoscopic video quality metric. In Proceedings of SPIE IS&T Electronic Imaging (Vol. 7237, pp. 12-1).

  43. Wang, A., Jiang, G., Wang, X., & Yu, M. (2009, November). New no-reference blocking artifacts metric based on human visual system. In Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on (pp. 1-5). IEEE.

  44. Blocking artifacts in speech/audio: Dynamic auditory model-based characterization and optimal time–frequency smoothing, Chandra Sekhar Seelamantula and Thippur V. Sreenivas, Signal Processing, Volume 89, Issue 4, April 2009, Pages 523-531

  45. Pre- and Post-shift Filtering for Blocking Removing in Downsizing Transcoding, Haiyan Shu and King Ngi Ngan, Fellow, IEEE, Transactions Letters, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 19, NO. 6, JUNE 2009

  46. Image Fitting Using $arctan$ for JPEG AC Coefficient Prediction, Lakhani, G., IEEE Transactions on Circuits and Systems for Video Technology , 2008Vol.18(No.6) 

  47. Study on the distribution of DCT residues and its application to R-D analysis of video coding,
    Jun Xie and Liang-Tien Chia, Journal of Visual Communication and Image Representation, Volume 19, Issue 7, October 2008, Pages 411-425

  48. Unified deblocking for discrete cosine transfer compressed images, Guangtao Zhai, Wenjun Zhang and Xiaokang Yang, Weisi Lin, Yi Xu, J. Electron. Imaging, Vol. 17, 043021 (2008); doi:10.1117/1.3033211 , Published 3 December 2008

  49. Rate Distortion Based Detection of Artifacts in Earth Observation Images, Mallet, A.   Datcu, M, Geoscience and Remote Sensing Letters, IEEE, Publication Date: July 2008, Volume: 5,  Issue: 3, On page(s): 354-358

  50. Design a deblocking filter with three separate modes in DCT-based coding, Yen-Yu Chen, Ying-Wen Chang and Wen-Chien Yen, Journal of Visual Communication and Image Representation, Volume 19, Issue 4, May 2008, Pages 231-244

  51. Post-filtering of DCT Coded Images Using Fuzzy Blockiness Detector and Linear Interpolation, Hak-Choong Kim, Oğuzhan Urhan, Member, IEEE and Tae-Gyu Chang, Member, IEEE, Consumer Electronics, IEEE Transactions on, Publication Date: Aug. 2007, Volume: 53,  Issue: 3, On page(s): 1125-1129

  52. Reduction of blocking artifacts in JPEG compressed images, Sukhwinder Singh. Vinod Kumar and H.K. Verma, Digital Signal Processing, Volume 17, Issue 1, January 2007, Pages 225-243

  53. A Tele-Operated Robotic System for Mobile Tele-Echography: The Otelo Project, Topics in Biomedical Engineering. International Book Series, DOI: 10.1007/0-387-26559-7_35, pp. 461-473, Thursday, January 04, 2007

  54. Reduction of Artifacts in JPEG images with Genetic Algorithm and Boundary Pixel Replacement, Asian Journal of Information Technology 6(2):136-145, 2007, Medwell Journals, 2007

  55. Pillayar Thunai Kali Amman Thunai Sri Anjaneyar Thunai Genetic Algorithm Optimization for Reducing Artifacts in Association with High Dynamic Range Procesing in Favor of Low Vision Viewers, K.Sivakami Sundari & V.Sadasivam, Journal of Engineering and Applied Science 2 (3); 595-607, 2007, Medwell Journals, 2007

  56. Pre-And Post-Shift Filtering for Removing Blocking Effects in Downsizing Transcoding, Haiyan Shu   Ngan King Ngi, Multimedia and Expo, 2007 IEEE International Conference on, Publication Date: 2-5 July 2007, On page(s): 416-419

  57. A Practical Design Flow of Noise Reduction Algorithm for Video Post Processing, Shengqi Yang   Tiehan Lu, Consumer Electronics, IEEE Transactions on, Publication Date: Aug. 2007, Volume: 53,  Issue: 3, On page(s): 995-1002

  58. A Hybrid Algorithm With Artifact Detection Mechanism for Region Filling After Object Removal From a Digital Photograph, Han-Jen Hsu, Jhing-Fa Wang, Fellow, IEEE, and Shang-Chia Liao, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 6, JUNE 2007

  59. Fast Edge-Preserved Postprocessing for Compressed Images, Ci Wang   Ping Xue   Lin, W.   Wenjun Zhang   Songyu Yu, Circuits and Systems for Video Technology, IEEE Transactions on, Publication Date: Sept. 2006, Volume: 16,  Issue: 9, On page(s): 1142-1147

  60. Novel techniques for reducing blocking artifacts in motion compensated frame, Farzin Ahmadianpour and M. Omair Ahmad, J. Electron. Imaging, Vol. 15, 013007 (2006); doi:10.1117/1.2178300 , Published 10 March 2006

  61. A no-reference blocking artifact metric for B-DCT video*, YANG Fu-zheng, WAN Shuai, CHANG Yi-lin, LUO Zhong, Yang et al. / J Zhejiang Univ SCIENCE A 2006 7(Suppl. I):95-100, Journal of Zhejiang University SCIENCE A, ISSN 1009-3095 (Print); ISSN 1862-1775 (Online)

  62. Adaptive Blocking Artifacts Reduction Algorithm Based on DCT-Domain, Wei-Bin Zhao   Yu-Shan Zhang   Zhi-Heng Zhou, Machine Learning and Cybernetics, 2006 International Conference on, Publication Date: 13-16 Aug. 2006, On page(s): 3909-3913

  63. Spatial-frequency Feature Vector Fusion Based Steganalysis, Hong Cai   Agaian, S.S., Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on, Publication Date: 8-11 Oct. 2006, Volume: 3,  On page(s): 1866-1870

  64. Sigmoid Function Activated Blocking Artifacts Reduction Algorithm, Zhi-Heng Zhou and Sheng-Li Xie, Lecture Notes in Control and Information Sciences, Volume 345/2006, pp.507-516, Monday, October 16, 2006.

  65. Improvement of DCT-based Compression Algorithms Using Poisson's Equation, Katsu Yamatani* and Naoki Saito, IEEE transactions on image processing   ISSN 1057-7149 , 2006, vol. 15, no12, pp. 3672-3689 [18 page(s) (article)] (28 ref.)

  66. A no-reference blocking artifact metric for B-DCT video, YANG Fu-zheng†1, WAN Shuai2, CHANG Yi-lin1, LUO Zhong3, Yang et al. / J Zhejiang Univ SCIENCE A 2006 7(Suppl. I):95-100, Journal of Zhejiang University SCIENCE A, ISSN 1009-3095 (Print); ISSN 1862-1775 (Online)

  67. MPEG Postprocessing System Using Edge Signal Variable Filter, Chan-Ho Han, Suk-Hwan Lee,*, Seong-Geun Kwon, Ki-Ryong Kwon, and Dong Kyue Kim, Lecture Notes in Computer Science, Volume 4141/2006, pp. 146-155, Friday, September 22, 2006

  68. POCS-Based Blocking Artifacts Suppression Using a Smoothness Constraint Set With Explicit Region Modeling, Alan Wee-Chung Liew, Member, IEEE, Hong Yan, Senior Member, IEEE, and Ngai-Fong Law, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 15, NO. 6, JUNE 2005.

  69. Block Artifact Reduction Using A Transform Domain Markov Random Field Model, Zhen Li Student Member, IEEE and Edward J. Delp, Fellow, IEEE, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. X, NO. YY, XXX 2005

  70. Visual distortion gauge based on discrimination of noticeable contrast changes, Lin, W.   Li Dong   Ping Xue, Circuits and Systems for Video Technology, IEEE Transactions on, Publication Date: July 2005, Volume: 15,  Issue: 7, On page(s): 900- 909

  71. Blocking Artifacts Measurement Based on the Human Visual System, Lecture Notes in Computer Science, Volume 3610/2005, Advances in Natural Computation, 2005, pp. 839-843, Wednesday, July 27, 2005

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