Scientific literature

As the S-FIVE project team is currently composing a formal paper on the existing State of the Art, the initial version of this bibliography is considered to be protected by international Copyright (C);
Hence, it is currently forbidden to re-use, copy or redistribute this bibliography in any way;
Upon completion of our State of the Art overview, these restrictions will be lifted.

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Please consider reviewing, updating or contributing to this bibliography by sending an e-mail to: cr@s-five.eu

Please note that we are particularly looking for scientific papers, dissertations, etc. that have a clear or sole focus on forensic applications of various image enhancement methods.

If you submit additional references, please consider providing: the full bibliographic information, a weblink to the author/papers/R&D groups'website, a weblink to the official summary/abstract of the reference (e.g. DOI), and,
the reason/motivation why you think this is an important reference, or, any other comments you may have.

Additional contributed entries are/will be marked with the contributor's name or initials (please indicate your preference), and, these entries are and will not be considered to be subject to the Copyright (C) notice mentioned above.

The bibliography below contains only a limited subset of all references that are currently available in the full project archive.
This subset was selected because these references are considered to be either: most relevant, explicitly cited, e.g., when discussing software, or, important advances on their own, etc.

For important PhD dissertations speciffically, multiple conference/journal papers associated with these PhD dissertations may be omitted here; these papers may be available through the weblinks mentioned below.

At a later stage the S-FIVE team will also release an overview on existing software tools, reference test data sets, etc.
Please consider subscribing to our mailing list (see Contact) to be notified automatically about these project activities.

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Books

[Chaudhuri:2001] S. Chaudhuri. Super-Resolution Imaging. The Kluwer International Series in Engineering and Computer Science. Kluwer Academic Publishers, 2001. URL: http://books.google.be/books?id=a340i2zvXZ8C.

[Gonzales:1987] R.C. Gonzales and R.E. Woods, Digital Image Processing, Addison-Wesley, Reading, MA, USA, 3rd edition, 1987. ((Contributed by [MJ]))

[Jain:1989] Anil. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, ISBN-10: 0133361659, ISBN-13: 9780133361650, 1989. URL: http://www.pearsonhighered.com/educator/product/Fundamentals-of-Digital-Image-Processing/9780133361650.page ((Contributed by [MJ]))

[Lim:1990] J.S. Lim, Two-Dimensional Signal and Image Processing, Englewood Cliffs, Prentice Hall, NY, p. 548, equations 9.44 -- 9.46, 1990 ((Contributed by [MJ]))

[Milanfar:2010] Peyman Milanfar, editor. Super-Resolution Imaging. Taylor And Francis, 2010. URL: http://www.taylorandfrancis.com/books/details/9781439819302/.

[Tekalp:1995] A. M. Tekalp. Digital Video Processing. Prentice Hall, 1995.

PhD dissertations

[Al-salem:2010] Faisal Al-Salem. Blind Super-resolution from multiple undersampled image using sampling diversity. PhD thesis, The University of Michigan, 2010. URL: http://web.eecs.umich.edu/~aey/phd.html.

[Baboulaz:2008] L. Baboulaz. Feature Extraction for Image Super-resolution using Finite Rate of Innovation Principles. PhD thesis, Department of Electrical and Electronic Engineering, Imperial College London, 2008. related URL:http://www.commsp.ee.ic.ac.uk/~pld/. URL: http://www.commsp.ee.ic.ac.uk/~lbaboula/.

[Borman:2004] Sean Borman. Topics in Multiframe Superresolution Restoration. PhD thesis, University of Notre Dame, Notre Dame, IN, May 2004. URL: http://www.seanborman.com/publications/.

[Capel:2001] D. P. Capel. Image Mosaicing and Super-resolution. PhD thesis, University of Oxford, 2001. URL: http://www.robots.ox.ac.uk/~vgg/publications/2001/Capel01a/.

[Kramer:2007PhD] Petra Krämer. Super-resolutionmosaicing from low-resolution video. Application to video summarisation and error concealment. PhD thesis, Université Bor- deaux I, 2007. URL: http://books.google.be/books/about/Construction_de_Mosa%C3%AFques_de_Super_r%C3%A9s.html?id=x5dVPgAACAAJ&redir_esc=y.

[Luong:2009] H.Q. Luong. Advanced Image and Video Resolution Enhancement Techniques. PhD thesis, Ghent University, Ghent, Belgium, March 2009. URL: http://telin.ugent.be/~hluong/phd_hluong.pdf

[Pelletier:2009] Stephane Pelletier. Acceleration methods for image super-resolution. PhD thesis, McGill University, Montreal, Canada, 2009.

[Pickup:2008] L. C. Pickup. Machine Learning in Multi-frame Image Super-resolution. PhD thesis, University of Oxford, February 2008. URL: http://www.robots.ox.ac.uk/~vgg/publications/2008/Pickup08/.

[Sroubek:2003] Filip Sroubek. Image Fusion via Multichannel Blind Deconvolution. PhD thesis, Charles University, Prague, 2003.

[Vandewalle:2006] Patrick Vandewalle. Super-Resolution from Unregistered Aliased Images. PhD thesis, Ecole Polytechnique Fédérale de Lausanne, July 2006. Thesis Directors: Martin Vetterli and Sabine Süsstrunk; Thesis No 3591. URL: http://rr.epfl.ch/6/.

[Ye:2005] Getian Ye. Image Registration and Super-resolution Mosaicing. PhD thesis, Uni- versity College, The University of New South Wales, 2005. URL: http://www.unsworks.unsw.edu.au/primo_library/libweb/action/dlDisplay.do?vid=UNSWORKS&docId=unsworks_3189&fromSitemap=1&afterPDS=true

Journal Special Issues/Collections/Series

[IEEE-SPM:2003] Moon Gi Kang and Subhasis Chaudhuri (Eds.). Super-resolution image reconstruction. IEEE Signal Processing Magazine (Special Issue), 20(3):19–86, May 2003.

[ComputerJournal] The Computer Journal, Volume 52 Issue 1 January 2009, http://comjnl.oxfordjournals.org/content/52/1.toc

[EURASIP-JoAiSP] Eurasip Journal on Advances in Signal Processing, Super-Resolution Imaging: Analysis, Algorithms, and Applications, 2006, http://asp.eurasipjournals.com/series/SUPER

[Image Processing On Line] Image Processing on Line, http://www.ipol.im/

Journal papers

[Ben-Ezra:2004] S.K. Nayar and M. Ben-Ezra. Motion-based motion deblurring. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 26(6):689–698, june 2004. http://dx.doi.org/doi:10.1109/TPAMI.2004.1.

[Berger:2006] Berger CE, de Koeijer JA, Glas W, Madhuizen HT, Color separation in forensic image processing, J Forensic Sci. 2006 Jan;51(1):100-2. ((Contributed by [MJ]))

[Castagno:1998] R. Castagno, S. Marsi and G. Ramponi, A simple algorithm for the reduction of blocking artifacts in images and its implementation, in IEEE Transactions on Consumer Electronics, vol. 44, no. 3, Aug. 1998. ((Contributed by [MJ]))

[Criminisi:2000] A. Criminisi, I. Reid, and A. Zisserman, Single View Metrology, in International Journal of Computer Vision, vol. 40, no. 2, pp. 123-148, Nov. 2000. ((Contributed by [MJ]))

[deHaan:1998] G. de Haan and E.B. Bellers, `Deinterlacing--An overview', Proceedings of the IEEE, Vol. 86, No. 9, Sep. 1998, pp. 1839-1857. URL: http://www.ics.ele.tue.nl/~dehaan/pdf/39_overview.pdf ((Contributed by [MJ]))

[Eren:1997] P.E. Eren, M.I. Sezan, and A.M. Tekalp. Robust, object-based high-resolution image reconstruction from low-resolution video. Image Processing, IEEE Transactions on, 6(10):1446 –1451, oct 1997. http://dx.doi.org/doi:10.1109/83.624970.

[Farsiu:2003] Sina Farsiu, Dirk Robinson, Michael Elad, and Peyman Milanfar. Fast and robust multi- frame super-resolution. IEEE Transactions on Image ProcessinG, 13:1327–1344, 2003.

[Farsiu:2004] Sina Farsiu, Dirk Robinson, Michael Elad, and Peyman Milanfar. Advances and chal- lenges in super-resolution. International Journal of Imaging Systems and Technology, 14:47–57, 2004.

[Farsiu:2006] S. Farsiu, M. Elad, and P. Milanfar. Multiframe demosaicing and super-resolution of color images. Image Processing, IEEE Transactions on, 15(1):141 –159, jan. 2006. http://dx.doi.org/doi:10.1109/TIP.2005.860336.

[Gunturk:2004] B.K. Gunturk, Y. Altunbasak, and R.M. Mersereau. Super-resolution reconstruction of compressed video using transform-domain statistics. Image Processing, IEEE Trans- actions on, 13(1):33 –43, jan. 2004. http://dx.doi.org/doi:10.1109/TIP.2003.819221.

[Gunturk:2005] B.K. Gunturk, J. Glotzbach, Y. Altunbasak, R.W. Schafer, and R.M. Mersereau. De- mosaicking: color filter array interpolation. Signal Processing Magazine, IEEE, 22(1):44 – 54, jan. 2005. http://dx.doi.org/doi:10.1109/MSP.2005.1407714.

[Gunturk:2007] Superresolution under photometric diversity of images. EURASIP Journal on Ad- vances in Signal Processing, Special Issue: Super-Resolution Enhancement of Digital Video, 2007.

[Hufnagel:1964] R. E. HUFNAGEL and N. R. STANLEY, Modulation Transfer Function Associated with Image Transmission through Turbulent Media, J. Opt. Soc. Am. 54, 52-60 (1964). ((Contributed by [MJ]))

[Irie:2008] K Irie, A E McKinnon, K Unsworth, and I M Woodhead. A model for measurement of noise in ccd digital-video cameras. Measurement Science and Technology, 19(4):045207, 2008. URL: http://stacks.iop.org/0957-0233/19/i=4/a=045207.

[Klose:2015] F. Klose, O. Wang, J.-C. Bazin, M. Magnor, A. Sorkine-Hornung, Sampling Based Scene-Space Video Processing, ACM Transactions on Graphics (Proc. of SIGGRAPH), 2015, http://ahornung.net/files/pub/2015-siggraph-scenespace-klose.pdf, http://www.disneyresearch.com/publication/scenespace/ ((Contributed by [FE]))

[Krämer:2007] P. Krämer, O. Hadar, J. Benois-Pineau, and J.-P. Domenger. Super-resolution mosaicing from mpeg compressed video. Signal Processing: Image Communication, 22(10):845 – 865, 2007. URL: http://www.sciencedirect.com/science/article/pii/S0923596507000872, http://dx.doi.org/doi:10.1016/j.image.2007.06.004.

[Krämer:2011] Petra Krämer, Jenny Benois-Pineau, and Jean-Philippe Domenger. Local object- based super-resolution mosaicing from low-resolution video. Signal Processing, 91(8):1771 – 1780, 2011. URL: http://www.sciencedirect.com/science/article/pii/S0165168411000442, http://dx.doi.org/doi:10.1016/j.sigpro.2011.02.001.

[Mann:2000] S. Mann. Comparametric equations. IEEE Trans. Image Proc., 9(8):1389–1406, August 2000. ISSN 1057-7149. URL: http://wearcam.org/comparam.htm.

[Milliet:2015] Q. Milliet, M. Jendly, O. Delemont, An innovative strategy and shared methodology for event reconstruction using images in forensic science, Forensic Science International, 254, p. 172-179. http://dx.doi.org/10.1016/j.forsciint.2015.07.028

[Park:2003] M. K. Park S. C. Park and M. G. Kang. Super-resolution image reconstruction: a technical overview. IEEE Signal Processing Magazine, 20(3):21–36, May 2003.

[Pickup:2007] L. C. Pickup, D. P. Capel, S. J. Roberts, and A. Zisserman. Bayesian methods for image super-resolution. The Computer Journal, 2007. URL: http://www.robots.ox.ac.uk/~vgg/publications/2007/Pickup07a/.

[Ramponi:1999] G. Ramponi, Warped distance for space-variant linear image interpolation, in IEEE Transactions on Image Processing, vol. 8, pp. 629-639, May 1999. ((Contributed by [MJ]))

[Shan:2008] Qi Shan, Jiaya Jia, and Aseem Agarwala. High-quality motion deblurring from a single image. ACM Transactions on Graphics (SIGGRAPH), 2008. URL: http://appsrv.cse.cuhk.edu.hk/~leojia/publications.html.

[Shechtman:2005] E. Shechtman, Y. Caspi, and M. Irani. Space-time super-resolution. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 27(4):531 –545, april 2005. http://dx.doi.org/doi:10.1109/TPAMI.2005.85.

[Tai:2011] Yu-Wing Tai, Ping Tan, and M.S. Brown. Richardson-lucy deblurring for scenes under a projective motion path. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 33(8):1603 –1618, aug. 2011. related URL:http://yuwing.kaist.ac.kr/projects/projectivedeblur/index.htm. http://dx.doi.org/doi:10.1109/TPAMI.2010.222.

[Takeda:2007] H. Takeda, S. Farsiu, and P. Milanfar. Kernel regression for image processing and reconstruction. Image Processing, IEEE Transactions on, 16(2):349 –366, feb. 2007. http://dx.doi.org/doi:10.1109/TIP.2006.888330.

[Takeda:2009] H. Takeda, P. Milanfar, M. Protter, and M. Elad. Super-resolution without explicit subpixel motion estimation. Image Processing, IEEE Transactions on, 18(9):1958 –1975, sept. 2009. http://dx.doi.org/doi:10.1109/TIP.2009.2023703.

[Whyte:2011] O. Whyte, J. Sivic, A. Zisserman, and J. Ponce. Non-uniform deblurring for shaken images. International Journal of Computer Vision, 98(2):168–186, 2012. URL: http://www.di.ens.fr/willow/research/deblurring/.

[Xiong:2010] Zhiwei Xiong, Xiaoyan Sun, and Feng Wu. Robust web image/video super-resolution. Image Processing, IEEE Transactions on, 19(8):2017 –2028, aug. 2010. URL: http://research.microsoft.com/en-us/people/fengwu/paper_eng.aspx, http://dx.doi.org/doi:10.1109/TIP.2010.2045707.

[Yang:2008] Yang, Jianchao, et al. "Image super-resolution as sparse representation of raw image patches." Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. IEEE, 2008. URL: http://www.ifp.illinois.edu/~jyang29/ ((Contributed by [GT] ; to be verified: paper has high citation count, note: focus may be on patch/dictionary based intra-image superresolution only))

[Yang:2010] Yang, Jianchao, et al. "Image super-resolution via sparse representation." Image Processing, IEEE Transactions on 19.11 (2010): 2861-2873. URL: http://www.ifp.illinois.edu/~jyang29/ ((Contributed by [GT]; to be verified: paper has high citation count; note: focus may be on patch/dictionary based intra-image superresolution only))

Other papers

[Belekos:2008] S. Belekos, N. P. Galatsanos, , and A. K. Katsaggelos. Maximum a posteriori video super-resolution with a new multichannel image prior. In EUSIPCO, August 2008. URL:http://ivpl.eecs.northwestern.edu/publications/author/Belekos.

[Belekos:2009] S.P. Belekos, N.P. Galatsanos, S.D. Babacan, and A.K. Katsaggelos. Maximum a posteriori super-resolution of compressed video using a new multichannel image prior. In Image Processing (ICIP), 2009 16th IEEE International Conference on, pages 2797–2800, nov. 2009. http://dx.doi.org/doi:10.1109/ICIP.2009.5414174.

[Borman:1998] Sean Borman and Robert L. Stevenson. Spatial resolution enhancement of low- resolution image sequences: A comprehensive review with directions for future research. Technical report, Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana, USA, July 1998. URL: http://www.seanborman.com/publications.

[Gehani:2007] Reif J. Gehani, A. In P. Craiger and S Shenoi, editors, Advances in Digital Forensics III; IFIP International Federation for Information Processing, volume 242, pages 281–299. Springer, Boston, 2007. URL: http://www.csl.sri.com/people/gehani/.

[Levin:2009] F. Durand W. T. Freeman A. Levin, Y. Weiss. Understanding and evaluating blind deconvolution algorithms. In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2009.

[Russell:2003] B. C. Russell. Exploiting the sparse derivative prior for super-resolution. Master’s thesis, Massachusetts Institute of Technology, 2003. URL: http://www.cs.washington.edu/homes/bcr/publications.html.

[Tai10cvpr] Yu-Wing Tai, Naejin Kong, Stephen Lin, and Sung Yong Shin. Coded exposure imaging for projective motion deblurring. In CVPR, 2010. related URL:http://yuwing.kaist.ac.kr/projects/projectivedeblur/index.htm.

[Tappen:2003] Exploiting the sparse derivative prior for super-resolution and image demosaicing. In 3rd Intl. Workshop on Statistical and Computational Theories of Vision (associated with ICCV), 2003. URL: http://www.cs.washington.edu/homes/bcr/publications.html.

[Wen:2002] Point spread functions and their applications to forensic image restoration. Forensic Science Journal, pages 15–26, 2002. URL: http://fsjournal.cpu.edu.tw/content/vol1.no.1/p2(15-26).pdf.

[Whyte:2010] O. Whyte, J. Sivic, A. Zisserman, and J. Ponce. Non-uniform deblurring for shaken images. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010. URL: http://www.di.ens.fr/willow/research/deblurring/.

[Xu:2010] Li Xu and Jiaya Jia. Two-phase kernel estimation for robust motion deblurring, 2010. URL: http://appsrv.cse.cuhk.edu.hk/~leojia/publications.html.

[Yuan:2008] Jie Yuan, Si dan Du, and Xiang Zhu. Fast super-resolution for license plate image reconstruction. In Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, pages 1 –4, dec. 2008. http://dx.doi.org/doi:10.1109/ICPR.2008.4760990.

[Zheng:2008] Yuanjie Zheng, Jingyi Yu, Sing Bing Kang, S. Lin, and C. Kambhamettu. Single- image vignetting correction using radial gradient symmetry. In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pages 1 –8, june 2008. http://dx.doi.org/doi:10.1109/CVPR.2008.4587413.

Contributors

[GT] D.T.P. Dr. Giovanni Tessitore, Polizia di Stato - http://www.poliziadistato.it/ , Direzione Centrale Anticrimine, Servizio Polizia Scientifica

[MJ] Martino Jerrian, CEO and Founder of Amped Software - http://ampedsoftware.com/

[FE] permission to publish full ID pending

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