References

Document Imaging References

[AB89]

Arcelli C., di Baja G.S. (1989) A one-pass two-operation process to detect the skeletal pixels on the 4-distance transform. IEEE Trans. on Pattern Analysis, Machine Intelligence, 11 (4): 411-414.

[AF98]

Ageenko E.I., Fränti P. (1998) Enhanced JBIG-based compression for satisfying objectives of engineering document management system, Optical Engineering 37 (5): 1530-1538. a preliminary version: ‘Storage system for document imaging applications’ appears in Proc. Picture Coding Symposium (Berlin, Germany, 1997), 361-364.

[AF99a]

Ageenko E.I., Fränti P. (1999) Forward-adaptive method for compressing large binary images, Software Practice & Experience, 29(11): 943-952.

[AF99b]

Ageenko E.I., Kolesnikov A., Fränti P. (1999) On-line demonstration of the Document Imaging Compression System supporting spatial access: http://cs.joensuu.fi/~ageenko/research/rtm/edm/edm_demo.htm

[AF00a]

Ageenko E.I., Fränti P. (2000) Context-based filtering of document images, Pattern Recognition Letters, 21 (6-7): 483-491.

[AF00b]

Ageenko E.I., Fränti P. (2000) Compression of large binary images in digital spatial libraries. Computer & Graphics 24 (1): 91-98;

[AKF00] Ageenko E.I., Kopylov P. and Fränti P. (2000) "Optimizing context template for compression of multi-component map images", Proc. Int. Conf. on the Computer Graphics and Vision GraphiCon'2000, Moscow, Russia, 151-156.

[AKF01] Ageenko E.I., Kopylov P. and Fränti P. (2001) "On the size and shape of multi-level context templates for compression of map images", Proc. 2001 IEEE Int. Conf. on Image Processing "ICIP'01", Thessaloniki, Greece, (October 7-10, 2001), (to appear).

[AKS90]

Algazi V.R., Kelly P.L., Estes R.R. (1990) Compression of binary facsimile images by preprocessing and color shrinking. IEEE Trans. on Communications 38 (9): 1592-1598.

[AN74]

Ascher R.N., Nagy G. (1974) A means for achieving a high degree of compaction on scan-digitized printed text. IEEE Trans. Computers, C-23 (November): 1174-1179.

[AT94]

Arps R.B., Truong T.K. (1994) Comparison of international standards for lossless still image compression. Proceedings of the IEEE 82: 889-899.

[Ber87]

Bernstein R. (1987) Adaptive nonlinear filters for simultaneous removal of different kinds of noise in images. Proc. IEEE Transaction on Circuits, Systems CAS-34 (11): 1275-1291.

[Cap59]

Capon J. (1959) A probabilistic model for run-length coding of pictures. IRE Tran. Information Teory, IT-5: 157-163.

[Col66]

Colomb S.W. (1966) Run-length encodings. IEEE Trans. Inform Theory, IT-12: 399-401.

[DA97]

Dougherty E.R., Astola J. (eds) (1997) Nonlinear Filters for Image Processing, SPIE Optical Engineering Press.

[DLDC93]

Dori D., Linag Y., Dowell J., Chai I. (1993) Sparse-pixel recognition of primitives in engineering drawings. Machine Vision and Applications 6: 69-82.

[EKY91]

Endoh T., Kato S., Yasuda Y. (1991) Progressive coding scheme for binary images, Electronic and Communications in Japan, part 1, 74(8): 1-17.

[ESRI94]

ESRI (1994) GIS Approach to Digital Spatial Libraries. ESRI White Paper Series. Environmental System Research Institute, Inc., USA. http://www.esri.com/

[ESRI98]

ESRI (1998) The role of Geographic Information Systems on the electronic battlefield. ESRI White Paper Series. Environmental System Research Institute, Inc., USA.

[FA99]

Fränti P., Ageenko E.I. (1999) On the use of context tree for binary image compression. Proc. IEEE International Conference on Image Processing “ICIP ’99”, Kobe, Japan, vol. 3, 757-761.

[FAKK98]

Fränti P., Ageenko E.I., Kälviäinen H., Kukkonen S. (1998) Compression of line drawing images using Hough transform for exploiting global dependencies, Proc. 4th Joint Conf. on Information Sciences JCIS'98 (RTP, NC, USA) IV: 433-436.

[FAK99]

Fränti P., Ageenko E.I., Kolesnikov A.N. (1999) Vectorizing and feature-based filtering for line-drawing image compression. Pattern Analysis and Applications, 2 (4): 285-291; a preliminary version: “Compression of line-drawing images using vectorizing and feature-based filtering” appears in Proc. 8th Int. Conf. on Computer Graphics and Visualization “GraphiCon 98” (Moscow, Russia, 1998), 219-224.

[FAKK00] Fränti P., Ageenko E.I., Kälviäinen H., Kukkonen S. (2000) "On the use of Hough transform for context-based image compression in hybrid raster/vector applications", Proc. Indian Conf. on Computer Vision, Graphics and Image Processing (ICVGIP'00), Bangalore, India, pp. 364-372.

[FJ94]

Forchhammer S., Jensen K.S. (1994) Data compression of scanned halftones images. IEEE Trans. Communications, 42: 1881-1893.

[FN93]

Fränti P., Nevalainen O. (1993) A two-stage modeling method for compressing binary images by arithmetic coding. The Computer Journal 36 (7): 615-622.

[FN95]

Fränti P., Nevalainen O. (1995) Compression of binary images by composite methods based on the block coding. Journal of Visual Communication, Image Representation 6 (4): 366-377.

[Fox+95]

Fox E.A., et al. (1995) (Eds.) Digital Libraries. [Special issue of] Communications of the ACM 38 (4).

[Fr94]

Fränti P. (1994) A fast and efficient compression method for binary images. Signal Processing: Image Communication 6 (1): 69-76.

[GW92]

Gonzalez R.C., Woods R.E. (1992) Digital image processing. Addison-Wesley.

[Gray70]

Gray R.M. (1970) Information rates of autoregressive processes. IEEE Trans. Inform Theory IT-16: 412-421.

[Haf+99]

Haffner P., LeCunn Y., Bottou L., Howard P., Vincent P., Riemers B. (1999) Color document on the Web with DjVu. Proc. IEEE International Conference on Image Processing “ICIP ’99” (Kobe, Japan), 25PS1.7.

[Har93]

Harvey R. (1993) (eds.). Preservation in Libraries: A Reader. London: Bowker-Saur.

[Haskel98]

Haskell B.G. et al. (1998) Image and video coding – emerging standards and beyond. IEEE Trans. Circuits and Systems for Video Technology 8 (7): 814-837.

[Haskin98]

Haskins D. (1998) Word for Word. PC Magazine, (1998)1: 20-2x.

[Hei94]

Heijmans H.J.A.M. (1994) Morphological image operators. Boston: Academic Press.

[How97]

Howard P.G. (1997) Text image compression using soft pattern matching. The Computer Journal 40 (2/3): 146-156.

[How+98]

Howard P.G., Kossentini F., Martins B., Forchammer S., Rucklidge W. J., Ono F. (1998) The emerging JBIG2 standard. IEEE Trans. Circuits, Systems for Video Technology 8 (7): 838-848.

[Hou62]

Hough P.C.V. (1962) Methods and means for recognizing complex patterns. U.S. Patent 3,069,654.

[Huf52]

Huffman D.A. (1952) A method for the construction of minimum redundancy codes. Proc. of IEEE, 40 (9): 1098-1101.

[HK83]

Hung S.H.Y., Kasvand T. (1983) Linear approximation of quantized thin lines. In: Haralick R.M. (eds) Pictorial Data Analysis. Berlin: Springer-Verlag, 15-28.

[Hun80]

Hunter R., Robinson A.H. (1980) International digital facsimile coding standards. Proc. of IEEE, 68 (7), 854-867.

[ITU T.4]

ITU-T (CCITT) Recommendation T.4. (1980)

[ITU T.6]

ITU-T (CCITT) Recommendation T.6. (1988) Facsimile coding schemes and coding control functions for Group 4 facsimile apparatus.

[ITU T.24]

ITU-T (CCITT) Recommendation T.24. (1994) Standardized digitized image set.

[ITU T.43]

ITU-T (CCITT) Recommendation T.43. (1997) Colour and gray-scale image representations using lossless coding scheme for facsimile.

[IW94]

Inglis S., Witten I. (1994) Compression-based template matching. In Proc. IEEE Data Compression Conference (Utah, USA), 106-115.

[Jag90]

Jagadish H.V. (1990) Linear clustering of objects with multiple attributes. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 332-342.

[JBIG1]

JBIG (1993). ISO/IEC International Standard 11544, ISO/IEC/JTC1/SC29/WG9; also ITU-T Recommendation T.82: Progressive Bi-level Image Compression.

[JBIG2]

JBIG2 Working Draft. http://www.jpeg.org/public/jbigpt2.htm

[JBIGWP]

JBIG Alliance White Paper (1996), InfoTrends Research Group, Inc., One Main Plaza, 4435 Main Street, Kansas City, MO 64111, USA.

[JKW98]

Joung H., Kim S.P., Wong E.K. (1998) Lossless grayscale image coding by using higher order context modeling and bit-plane decomposition. Proc. 4th Joint Conf. on Information Sciences (JCIS ’98), RTP, USA, IV: 254-257.

[JLG96]

Jann Lynn-George (1996) Digitization: A literature review, summary of technical processes, applications, issues. Jonh A. Weir Memorial Law Library, Univ. of Alberta, Edmonton, Alberta, Canada, (http://www.library.ualberta.ca/library_html/libraries/law/pubs.htm)

[JWC98]

Joung H., Wong E.K., Chen Y. (1998) Document image compression using straight line extraction and block context model. Proc. IEEE International Conference on image Processing (ICIP ’98), Chicago, Illinois, USA

[KA94]

Koskinen L., Astola J. (1994) Soft morphological filters: A robust morphological filtering method. Journal of Electronic Imaging 3: 60-70.

[Kas90]

Kasturi R., et al. (1990) A system for interpretation of line drawings. IEEE Trans. on Pattern Analysis, Machine Intelligence 12(10): 978-992.

[KBO96]

Kolesnikov A.N., Belekhov V.I., Chalenko I.O. (1996) Vectorization of raster images. Pattern Recognition, Image Analysis 6 (4): 786-794.

[KHXO95]

Kälviäinen H., Hirvonen P., Xu L., Oja E. (1995) Probabililistic, non-probabilistic Hough transforms: overview and comparisons.Image, Vision Computing 13: 239-251.

[KJ80]

Kunt M., Johnsen O. (1980) Block Coding: A Tutorial Review. Proceedings of the IEEE, 68 (7): 770-786.

[KOG92]

Kasturi R., O’Gourman L. (1992) Document image analysis: A bibliography. Machine Vision, Applications 5: 231-243.

[KT95]

Kolesnikov A.N., Trichina E.V (1995) The parallel algorithm for the binary images thinning. Optoelectronics, Instrumentation, Data Processing 1995 (6): 7-13.

[Lea93]

Leavers V.F. (1993) Survey: Which Hough Transform. CVGIP Image Understanding 58 (2): 250-264.

[Les92]

Lesk M. (1992) Image formats for preservation and access: a report of the Technology Assessment Advisory Committee to the Commission on Preservation and Access, reprinted in [Har93].

[LR81]

Langdon G.G., Rissanen J. (1981) Compression of black-white images with arithmetic coding. IEEE Trans. Communications 29 (6): 858-867.

[Lun90]

Lunin L. (1990) An overview of electronic image information. Optical Information systems 10 (3): 114-130.

[Lyn90]

Lynn M., and the Technology Assessment Advisory Committee to the Commision on Preservation and Access. (1990) The relationship between digital and other media conversion processes: a structured glossary of technical terms. Information Technology, Libraries 9 (4): 309-336.

[MR92]

Markas T., Reif J. (1992) Quad tree structures for image compression applications, Information Processing & Management 28 (6): 707-721.

[MF98]

Martins B., Forchhammer S. (1998) Bi-level image compression with tree coding. IEEE Trans. Image Processing 7 (4): 517-528.

[MF99]

Martins B., Forchhammer S. (1999) Lossless, near-lossless, and refinment coding of bi-level images. IEEE Trans. Image Processing 8 (5): 601-613.

[MM87]

Mintzer F.C., Mitchell J.L. (1987) Line-preserving binary image reduction algorithm. ISO/IEC JTC1/SC2/WG8, no. 601.

[Mof91]

Moffat A. (1991) Two-level context based compression of binary images. IEEE Proc. Data Compression Conference (Snowbird, Utah, USA), 382-391.

[MSY92]

Mori S., Suen C.Y., Yamamoto K. (1992) Historical review of OCR research and development. Proc. of IEEE, 80: 1029-1058.

[NG96]

Nelson M., Gailly J.-L. (1996) The data compression book. M&T Books, New York, NY, USA.

[NL90]

Nagasamy V., Langrana N.A. (1990) Engineering drawing processing and vectorizing system. Computer Vision, Graphics and Image Processing 49: 379-397.

[NLS]

NLS: National Land Survey of Finland, Opastinsilta 12 C, P.O.Box 84, 00521 Helsinki, Finland. http://www.nls.fi/index_e.htm.

[NW80]

Netravali A.N., Mounts F.W. (1980) Ordering Techniques for Facsimile Coding: A Review. Proceedings of the IEEE, 68 (7): 796-807.

[OAS98]

O.A.S. (1998) Cost Justification Paper. Open Archive Systems, Inc, 5 Jefferson Road, Windham, NH 03087, USA. Publications, Document CJ.DOC. http://www.openarchive.com/

[OO92]

Ogg H., Ogg M. (1992) Optical Character Recognition: A Librarian’s guide. Westport, Conn: Meckler.

[PMLA88]

Pennebaker W.B., Mitchell J.L., Langdon G.G., Arps, R.B (1988) An overview of the basic principles of the Q-coder adaptive binary arithmetic coder. IBM Journal of Research, Development 32(6): 717-726.

[PM88]

Pennebaker W.B., Mitchell J.L. (1988) Probability estimation for the Q-coder. IBM Journal of Research, Development 32(6): 737-759.

[PM93]

Pennebaker W.B., Mitchell J.L. (1993) JPEG Still Image Data Compression Standard. Van Nostrand Reinhold.

[PW96]

Pajarola R., Widmayer P. (1996) Spatial indexing into compressed raster images: how to answer range queries without decompression. Proc. Int. Workshop on Multimedia DBMS (Blue Mountain Lake, NY, USA), 94-100.

[Ric79]

Rice R.F. (1979) Some practical universal noiseless coding techniques. Proc. 1993 Data Compression Conference (Snow Bird, Utah, USA), 351-360.

[Ris83]

Rissanen J.J. (1983) A universal data compression system. IEEE Trans. Inform. Theory IT-29 (Sept. 1983): 656-664.

[RL79]

Rissanen J.J., Langdon G.G. (1979) Arithmetic coding. IBM Journal of Research, Development 23: 146-162.

[RL81]

Rissanen J.J., Langdon G.G. (1981) Universal modeling and coding. IEEE Trans. Inform. Theory IT-27: 12-23.

[RM92]

Rabbani M., Melnychuck P.W. (1992) Conditioning context for the arithmetic coding of bit planes. IEEE Trans. Signal Processing 40: 232-236.

[RM95]

Röösli M., Monagan G. (1995) A high quality vectorizing combining local quality measures and global constraints. IEEE Proc. 3rd Int. Conf. on Document Analysis, Recognition (Montreal, Canada), 243-248.

[Saf93]

Saffady W. (1993) Electronic Document Imaging Systems: Design, Evaluation, Implementation. Westport, Conn.:Meckler.

[Saf95]

Saffady, W. (1995) Digital library concepts and technologies for the management of library collections: an analysis of methods, costs. Library technology reports 31 (3): 221-380.

[Sal97]

Salomon D. (1997) Data compression: the complete reference. New York: Springer-Verlag.

[Sam89]

Samet H. (1989) Applications of Spatial Data Structures: Computer Graphics, Image Processing, GIS. MA: Addison-Wesley, Reading.

[Sam90]

Samet H. (1990) The Design and Analysis of Spatial Data Structures. MA: Addison-Wesley, Reading.

[Ser82]

Serra J. (1982) Image Analysis and Mathematical morphology. London: Academic Press.

[SG91]

Schonfeld D., Goutsias J. (1991) Optimal morphological pattern restoration from noisy binary images. IEEE Trans. on Pattern Analysis, Machine Intelligence 13 (1): 14-29.

[Sh48]

Shannon C.E. (1948) A mathematical theory of communication. Bell Syst. Tech Journal 27: 398-403.

[SK83]

Sankoff D., Kruskal J.B. (1983) (eds.) Time Warps, string edits and macromolecules: the theory and practice of sequence comparison. MA: Addyson-Wesley, Reading.

[TWMG93]

Tisher P.E., Worley R.T., Maeder A.J., Goodwin M. (1993) Context-based lossless image compression. The computer Journal 36: 68-77.

[TP80]

Ting D., Prasada B. (1980) Digital processing techniques for encoding of graphics. Proc. of the IEEE 68 (7): 757-769.

[TK99]

Tompkins D.A.D., Kossentini F. (1999) A fast segmentation algorithm for bi-level image compression using JBIG2. Proc. IEEE International Conference on Image Processing “ICIP ’99” (Kobe, Japan), 25PS1.4.

[Ur92]

Urban S.J. (1992) Review of standards for electronic imaging for facsimile systems. Journal of Electronic Imaging, 1(1): 5-21.

[VETK99]

Valliappan M., Evans B.L., Tompkins D.A.D., Kossentini F. (1999) Lossy compression of stochastic halftones with JBIG2. Proc. IEEE International Conference on image Processing “ICIP ’99” (Kobe, Japan), 25PS1.2.

[Vit97]

Vitter J. (1987) Design and Analysis of dynamic Huffman codes. Journal of Association for Computing Machinery, 34:825-845.

[WW92]

Wao Y. Wu Y. J.-M. (1992) Vector Run-Length Coding of Bi-level Images. Proceedings Data Compression Conference, Snowbird, Utah, USA, 289-298.

[WRA96]

Weinberger M.J., Rissanen J., Arps R. (1996) Application of universal context modeling to lossless compression of gray-scale images. IEEE Trans. Image Processing, Apr, 1996.

[WD99]

Wenyin L., Dori D (1999) From raster to vectors: extracting visual information from line drawings, Pattern Analysis & Applications, (1999)2:10-21.

[Will91]

Williams R. (1991) Adaptive data compression. Kluwer Academic Publishers.

[Will92]

Willis D. (1992) Imaging: the information access tool of the nineties. Proc. 13th National Online Meeting (Medford, N.J., USA), 435-444.

[Wils96]

Wilson D.J. (1996) How to modernize your paper engineering drawings. Imaging World, 5 (6): 52-53.

[Wils99]

Wilson D.J. (1999) S.E.A. Your paper. Scan Edit Archive Initiative, White paper. http://www.sea-initiative.org/

[WMB94]

Witten I.H., Moffat A., Bell T.C. (1994) Managing Gigabytes: Compressing and Indexing Documents and Images. Van Nostrand Reinhold, New York.

[WNC87]

Witten I., Near R., Cleary J. (1987) Arithmetic coding for data compression. Communications ACM, 30: 520-539.

[ZD96]

Zhang Q., Danskin J.M. (1996) Bitmap reconstruction for document image compression. SPIE Proc. Multimedia Storage, Archiving Systems (Boston, MA, USA), Vol. 2916: 188-199.

Updated: Aug, 2001

[AB89]	Arcelli C., di Baja G.S. (1989) A one-pass two-operation process to detect the skeletal pixels on the 4-distance transform. IEEE Trans. on Pattern Analysis, Machine Intelligence, 11 (4): 411-414.
[AF98]	Ageenko E.I., Fränti P. (1998) Enhanced JBIG-based compression for satisfying objectives of engineering document management system, Optical Engineering 37 (5): 1530-1538. a preliminary version: ‘Storage system for document imaging applications’ appears in Proc. Picture Coding Symposium (Berlin, Germany, 1997), 361-364.
[AF99a]	Ageenko E.I., Fränti P. (1999) Forward-adaptive method for compressing large binary images, Software Practice & Experience, 29(11): 943-952.
[AF99b]	Ageenko E.I., Kolesnikov A., Fränti P. (1999) On-line demonstration of the Document Imaging Compression System supporting spatial access: http://cs.joensuu.fi/~ageenko/research/rtm/edm/edm_demo.htm
[AF00a]	Ageenko E.I., Fränti P. (2000) Context-based filtering of document images, Pattern Recognition Letters, 21 (6-7): 483-491.
[AF00b]	Ageenko E.I., Fränti P. (2000) Compression of large binary images in digital spatial libraries. Computer & Graphics 24 (1): 91-98;
[AKF00]	Ageenko E.I., Kopylov P. and Fränti P. (2000) "Optimizing context template for compression of multi-component map images", Proc. Int. Conf. on the Computer Graphics and Vision GraphiCon'2000, Moscow, Russia, 151-156.
[AKF01]	Ageenko E.I., Kopylov P. and Fränti P. (2001) "On the size and shape of multi-level context templates for compression of map images", Proc. 2001 IEEE Int. Conf. on Image Processing "ICIP'01", Thessaloniki, Greece, (October 7-10, 2001), (to appear).
[AKS90]	Algazi V.R., Kelly P.L., Estes R.R. (1990) Compression of binary facsimile images by preprocessing and color shrinking. IEEE Trans. on Communications 38 (9): 1592-1598.
[AN74]	Ascher R.N., Nagy G. (1974) A means for achieving a high degree of compaction on scan-digitized printed text. IEEE Trans. Computers, C-23 (November): 1174-1179.
[AT94]	Arps R.B., Truong T.K. (1994) Comparison of international standards for lossless still image compression. Proceedings of the IEEE 82: 889-899.
[Ber87]	Bernstein R. (1987) Adaptive nonlinear filters for simultaneous removal of different kinds of noise in images. Proc. IEEE Transaction on Circuits, Systems CAS-34 (11): 1275-1291.
[Cap59]	Capon J. (1959) A probabilistic model for run-length coding of pictures. IRE Tran. Information Teory, IT-5: 157-163.
[Col66]	Colomb S.W. (1966) Run-length encodings. IEEE Trans. Inform Theory, IT-12: 399-401.
[DA97]	Dougherty E.R., Astola J. (eds) (1997) Nonlinear Filters for Image Processing, SPIE Optical Engineering Press.
[DLDC93]	Dori D., Linag Y., Dowell J., Chai I. (1993) Sparse-pixel recognition of primitives in engineering drawings. Machine Vision and Applications 6: 69-82.
[EKY91]	Endoh T., Kato S., Yasuda Y. (1991) Progressive coding scheme for binary images, Electronic and Communications in Japan, part 1, 74(8): 1-17.
[ESRI94]	ESRI (1994) GIS Approach to Digital Spatial Libraries. ESRI White Paper Series. Environmental System Research Institute, Inc., USA. http://www.esri.com/
[ESRI98]	ESRI (1998) The role of Geographic Information Systems on the electronic battlefield. ESRI White Paper Series. Environmental System Research Institute, Inc., USA.
[FA99]	Fränti P., Ageenko E.I. (1999) On the use of context tree for binary image compression. Proc. IEEE International Conference on Image Processing “ICIP ’99”, Kobe, Japan, vol. 3, 757-761.
[FAKK98]	Fränti P., Ageenko E.I., Kälviäinen H., Kukkonen S. (1998) Compression of line drawing images using Hough transform for exploiting global dependencies, Proc. 4th Joint Conf. on Information Sciences JCIS'98 (RTP, NC, USA) IV: 433-436.
[FAK99]	Fränti P., Ageenko E.I., Kolesnikov A.N. (1999) Vectorizing and feature-based filtering for line-drawing image compression. Pattern Analysis and Applications, 2 (4): 285-291; a preliminary version: “Compression of line-drawing images using vectorizing and feature-based filtering” appears in Proc. 8th Int. Conf. on Computer Graphics and Visualization “GraphiCon 98” (Moscow, Russia, 1998), 219-224.
[FAKK00]	Fränti P., Ageenko E.I., Kälviäinen H., Kukkonen S. (2000) "On the use of Hough transform for context-based image compression in hybrid raster/vector applications", Proc. Indian Conf. on Computer Vision, Graphics and Image Processing (ICVGIP'00), Bangalore, India, pp. 364-372.
[FJ94]	Forchhammer S., Jensen K.S. (1994) Data compression of scanned halftones images. IEEE Trans. Communications, 42: 1881-1893.
[FN93]	Fränti P., Nevalainen O. (1993) A two-stage modeling method for compressing binary images by arithmetic coding. The Computer Journal 36 (7): 615-622.
[FN95]	Fränti P., Nevalainen O. (1995) Compression of binary images by composite methods based on the block coding. Journal of Visual Communication, Image Representation 6 (4): 366-377.
[Fox+95]	Fox E.A., et al. (1995) (Eds.) Digital Libraries. [Special issue of] Communications of the ACM 38 (4).
[Fr94]	Fränti P. (1994) A fast and efficient compression method for binary images. Signal Processing: Image Communication 6 (1): 69-76.
[GW92]	Gonzalez R.C., Woods R.E. (1992) Digital image processing. Addison-Wesley.
[Gray70]	Gray R.M. (1970) Information rates of autoregressive processes. IEEE Trans. Inform Theory IT-16: 412-421.
[Haf+99]	Haffner P., LeCunn Y., Bottou L., Howard P., Vincent P., Riemers B. (1999) Color document on the Web with DjVu. Proc. IEEE International Conference on Image Processing “ICIP ’99” (Kobe, Japan), 25PS1.7.
[Har93]	Harvey R. (1993) (eds.). Preservation in Libraries: A Reader. London: Bowker-Saur.
[Haskel98]	Haskell B.G. et al. (1998) Image and video coding – emerging standards and beyond. IEEE Trans. Circuits and Systems for Video Technology 8 (7): 814-837.
[Haskin98]	Haskins D. (1998) Word for Word. PC Magazine, (1998)1: 20-2x.
[Hei94]	Heijmans H.J.A.M. (1994) Morphological image operators. Boston: Academic Press.
[How97]	Howard P.G. (1997) Text image compression using soft pattern matching. The Computer Journal 40 (2/3): 146-156.
[How+98]	Howard P.G., Kossentini F., Martins B., Forchammer S., Rucklidge W. J., Ono F. (1998) The emerging JBIG2 standard. IEEE Trans. Circuits, Systems for Video Technology 8 (7): 838-848.
[Hou62]	Hough P.C.V. (1962) Methods and means for recognizing complex patterns. U.S. Patent 3,069,654.
[Huf52]	Huffman D.A. (1952) A method for the construction of minimum redundancy codes. Proc. of IEEE, 40 (9): 1098-1101.
[HK83]	Hung S.H.Y., Kasvand T. (1983) Linear approximation of quantized thin lines. In: Haralick R.M. (eds) Pictorial Data Analysis. Berlin: Springer-Verlag, 15-28.
[Hun80]	Hunter R., Robinson A.H. (1980) International digital facsimile coding standards. Proc. of IEEE, 68 (7), 854-867.
[ITU T.4]	ITU-T (CCITT) Recommendation T.4. (1980)
[ITU T.6]	ITU-T (CCITT) Recommendation T.6. (1988) Facsimile coding schemes and coding control functions for Group 4 facsimile apparatus.
[ITU T.24]	ITU-T (CCITT) Recommendation T.24. (1994) Standardized digitized image set.
[ITU T.43]	ITU-T (CCITT) Recommendation T.43. (1997) Colour and gray-scale image representations using lossless coding scheme for facsimile.
[IW94]	Inglis S., Witten I. (1994) Compression-based template matching. In Proc. IEEE Data Compression Conference (Utah, USA), 106-115.
[Jag90]	Jagadish H.V. (1990) Linear clustering of objects with multiple attributes. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 332-342.
[JBIG1]	JBIG (1993). ISO/IEC International Standard 11544, ISO/IEC/JTC1/SC29/WG9; also ITU-T Recommendation T.82: Progressive Bi-level Image Compression.
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