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Bibliography for Image Processing

This bibliography provides a list of publications that might be helpful to you in using the image processing subset of Intel IPP. This list is not complete; it serves only as a starting point. The books [Rog85], [Rog90], and [Foley90] are good resources of information on image processing and computer graphics, with mathematical formulas and code examples.
[Aka96]
A.Akansu, M.Smith (editors).
Subband and Wavelet transform. Design and Applications
, Kluwer Academic Publishers, 1996.
[AP922]
A Fast Precise Implementation of 8x8 Discrete Cosine Transform Using the Intel® Streaming SIMD Extensions and MMX™ Instructions
, Application Note AP922, Intel Corp. Order number 742474, 1999.
[APMF]
Fast Algorithms for Median Filtering
, Application Note, Intel Corp. Document number 79835, 2001.
[AVS]
GB/T 200090.2-2006. China Standard. Information Technology
. Coding of Audio-Visual Objects - Part 2: Visual
(02/2006).
[Bert01]
M.Bertalmio, A.L.Bertozzi, G.Sapiro.
Navier-Stokes, Fluid Dynamics, and Image and Video Inpainting.
Proc. ICCV 2001, pp.1335-1362, 2001.
[Bor86]
G.Borgefors.
Distance Transformations in Digital Images
. Computer Vision, Graphics, and Image Processing 34, 1986.
[Bou99]
J-Y.Bouguet.
Pyramidal Implementation of the Lucas-Kanade Feature Tracker.
OpenCV Documentation, Microprocessor Research Lab, Intel Corporation, 1999.
[Canny86]
J. Canny.
A Computational Approach to Edge Detection
, IEEE Trans. on Pattern Analysis and Machine Intelligence 8(6), 1986.
[Davis97]
J.Davis and Bobick.
The Representation and Recognition of Action Using Temporal Templates
. MIT Media Lab Technical Report 402, 1997.
[Davis99]
J.Davis and G.Bradski.
Real-Time Motion Template Gradients Using Intel(R) Computer Vision Library
. IEEE ICCV'99 FRAME-RATE WORKSHOP, 1999.
[Dalal05]
N. Dalal and B. Triggs.
Histograms of Oriented Gradients for Human Detection
. INRIA, 2005.
[DICOM]
Digital Imaging and Communications in Medicine (DICOM), published by National Electrical Manufacturers Association, 2003.
[Feig92]
E. Feig and S. Winograd.
Fast Algorithms for the Discrete Cosine Transform
, IEEE Trans. Signal Processing, vol. 40, no. 9, pp. 2174-2193, Sep. 1992.
[Felz04]
P. Felzenszwalb, D. Hattenlocher.
Distance Transforms of Sampled Functions
. Cornell Computing and Information Science Technical Report TR2004-1963, September 2004.
[Foley90]
James D. Foley, Andries van Dam, Steven K. Feiner, and John F. Hughes.
Computer Graphics — Principles and Practice
, Second Edition. Addison Wesley, 1990.
[Gon93]
R.C. Gonzalez and R.E.Wood.
Digital Image Processing
. Prentice Hall, 1993.
[Hir05]
K. Hirakawa, T.W. Parks,
Adaptive Homogeneity-Directed Demosaicing Algorithm
, IEEE Trans. Image Processing, March, 2005.
[IEC61834]
IEC 61834. International Electrochemical Commission.
Specifications of Consumer-Use Digital VCRs using 6.3 mm magnetic tape
(
the "Blue Book" DV specification
).
[IEEE]
IEEE Standard Specifications for the Implementations of 8X8 Inverse Discrete Cosine Transform
, IEEE #1180 (1997).
[IPL]
Intel Image Processing Library Reference Manual.
Intel Corp. Order number 663791, 1999.
[ISO11172]
ISOCD 11172. Information Technology.
Coding of Moving Pictures and Associated Audio for Digital Storage Media at up to about 1.5 Mbit/s
(1993).
[ISO13818]
ISO/IEC 13818. Information Technology.
Coding of Moving Pictures and Associated Audio Information
, (11/94).
[ISO14496]
International Standard ISO/IEC 14496-2. Information Technology. Coding of Audio-Visual Objects - Part 2: Visual.
[ISO14496A]
ISO/IEC 14496-2:1999/Amd.1:2000(E) . Information Technology.
Coding of Audio-Visual Objects.
Part2:Visual. Amendment 1: Visual Extensions (01/00).
[ISO10918]
International Standard ISO/IEC 10918-1,
Digital Compression and Coding of Continuous Tone Still Images
, Appendix A -
Requirements and guidelines
.
[ISO15444]
International Standard ISO/IEC 15444-1,
JPEG 2000 Image coding system
, part 1: Core coding system.
[ISO29199]
International Standard ISO/IEC 29199-2,
JPEG XR Image coding system
, part 2: Image coding specification. (2009-08-15)
[ITUH261]
ITU-T Recommendation H.261.
Line transmission of non-telephone signals. Video codec for audiovisual services at p x 64 kbits
(03/93).
[ITUH263]
ITU-T Recommendation H.263. Series H: AUDIOVISUAL AND MULTIMEDIA SYSTEMS.
Infrastructure of audiovisual services - Coding of moving video. Video coding for low bit rate communication
(02/98).
[ITUH264]
ITU-T Recommendation H.264. Series H: AUDIOVISUAL AND MULTIMEDIA SYSTEMS.
Infrastructure of audiovisual services - Coding of moving video. Advanced video coding for generic audiovisual services
. (ITU-T Rec. H.264 | ISO/IEC 14496-10:2005)(03/05).
[ITUH264_07]
ITU-T Recommendation H.264. Series H: AUDIOVISUAL AND MULTIMEDIA SYSTEMS.
Infrastructure of audiovisual services - Coding of moving video. Advanced video coding for generic audiovisual services
. (ITU-T Rec. H.264 | ISO/IEC 14496-10:2008)(11/07).
[ITU709]
ITU-R Recommendation BT.709,
Basic Parameter Values for the HDTV Standard for the Studio and International Programme Exchange
[formerly CCIR Rec.709] ITU, Geneva, Switzerland, 1990.
[Jae95]
Jaehne, Bernd.
Digital Image Processing,
3rd Edition, Springer-Verlag, Berlin, 1995.
[Jae97]
Jaehne, Bernd.
Practical Handbook on Image Processing for Scientific Applications
, CRC Press, New York, 1997.
[Jack01]
Jack, Keith.
Video Demystified: a Handbook for the Digital Engineer
, LLH Technology Publishing, 3rd Edition, 2001.
[JVTG050]
JVT-G050.
ITU-T Recommendation and Final Draft International Standard of Joint Video Specification
(ITU-T Rec. H.264 | ISO/IEC 14496-10 AVC) (03/03).
[Kadew01]
P.KadewTraKuPong, R.Bowden.
An Improved Adaptive Background Mixture Model for Real-Time Tracking with Shadow Detection
. Proc. 2nd European Workshop on Advanced Video-Based Surveilolance Systems, 2001.
[Lein02]
R.Leinhart, J.Maydt. An Extended Set of Haar-like Features for Rapid Object Detection. IEEE ICIP, vol.1, pp. 900-903, Sep. 2002.
[Li03]
L.Li, W.Huang, I.Gu, Q.Tian.
Foreground Object Detection from Videos Containing Complex Background.
Proc.ACM Multimedia Conference, Berkley, 2003.
[Lim90]
Jae S.Lim.
Two-Dimensional Signal and Image Processing
, Prentice Hall, Englewood Cliffs, NJ, 1990.
[Lotufo00]
R.Lotufo, A.Falcao.
The Ordered Queue and the Optimality of the Watershed Algorithm
. Mathematical Morphology and its Applications to Image and Signal Processing, vol.18, pp.341-350. Kluwer Academic Publishers. Palo Alto, USA, June 2000.
[Lowe04]
D.G.Lowe.
Distinctive Image Features from Scale-Invariant Keypoints
. International Journal of Computer Vision, vol.60, No.2, pp. 91-110, 2004.
[Malvar03]
H.S.Malvar, G.J.Sullivan.
Transform, Scaling & Color Space Impact of Professional Extensions
, ISO/IEC JTC/SC29/WG11 and ITU-T SG16 Q.6 Document JVT-H031, Geneva, May 2003.
[Matas00]
J.Matas, C.Galambos, J.V.Kittler.
Robust Detection of Lines Using the Progressive Probabilistic Hough Transform
, CVIU 78 1, pp. 119-137, 2000.
[Malvar03-1]
H.S.Malvar, G.J.Sullivan.
YCoCg-R: A Color Space with RGB Reversibility and Low Dynamic Range
, Joint Video Team (JVT) of ISO/IEC MPEG & ITU-T VCEG, Document No.JVT-1014r3, July 2003.
[Meyer92]
F.Meyer.
Color Image Segmentation
, 4th International Conference on Image Processing and its Applications, p.4, Maastricht, April 1993.
[Meyer94]
F.Meyer.
Topographic Distance and Watershed Lines
. Signal Processing, No.38, pp.113-125, 1994.
[Mitchell88]
Don P. Mitchell, Arun N. Netravali.
Reconstruction Filters in Computer Graphics
. Computer Graphics, Volume 22, Number 4, AT&T Bell Laboratories, Murray Hill, New Jersey, August 1988.
[Myler93]
H.Myler, A.Weeks.
Computer Imaging Recipes in C
, Prentice Hall, 1993.
[Otsu79]
N. Otsu.
A Threshold Selection Method From Gray Level Histograms
. IEEE Transactions on Systems, Man, and Cybernetics, vol.9, No.1, January 1979, pp. 62-66.
[Puetter05]
R.C.Puetter, T.R.Gosnell, and Amos Yahil.
Digital Image Recosntuction: Deblurring and Denoising
, Annual Review of Astronomy and Astrophysics, 2005.
[Randy97]
Randy Crane.
A Simplified Approach to Image Processing
, Prentice Hall PTR, 1997.
[Rao90]]
K.R. Rao and P. Yip.
Discrete Cosine Transform. Algorithms, Advantages, Applications
. Academic Press, Inc, London, 1990.
[Ric72]
W.Richardson.
Bayesian-Based Iterative Method of Image Reconstruction
. Journal of the Optical Society of America, vol.62, No.1, January 1972.
[Ritter96]
G.Ritter, J.Wilson.
Computer Vision. Algorithms in Image Algebra
. CRC Press, 1996.
[Rog85]
David Rogers.
Procedural Elements for Computer Graphics
. McGraw-Hill, 1985.
[Rog90]
David Rogers and J.Alan Adams.
Mathematical Elements for Computer Graphics
. McGraw-Hill, 1990.
[S3TC]
S3 Texture Compression
. http://en.wikipedia.org/wiki/S3TC
[Sak98]
T. Sakamoto, C. Nakanishi, and T. Hase,
Software pixel interpolation for digital still cameras suitable for a 32-bit MCU
, IEEE Trans. Consumer Electronics, vol. 44, No. 4, November 1998.
[Serra82]
J.Serra.
Image Analysis and Mathematical Morphology
. Academic Press, London, 1982.
[Schu92]
Dale A. Schumacher.
General Filtered Image Rescaling,
Graphic Gems III, Academic Press, 1992.
[Schu94]
Dale A. Schumacher.
A comparison of digital halftoning techniques,
Graphic Gems III, Academic Press, 1994, pp. 57-71.
[Sha98]
Tom Shanley.
Pentium Pro and Pentium II System Architecture
. Addison-Wesley, 1998.
[SMPTE314M]
SMPTE 314M-2005 for Television -
Data Structure for DV-Based Audio, Data and Compressed Video - 25 and 50 Mb/s
. The Society of Motion Picture and Television Engineers (09/05).
[SMPTE370M]
SMPTE 370M-2002 for Television -
Data Structure for DV-Based Audio, Data and Compressed Video at 100 Mb/s, 1080/60i, 1080/50i, 720/60p
. The Society of Motion Picture and Television Engineers (07/02).
[SMPTE370M-06]
SMPTE 370M-2006 for Television -
Data Structure for DV-Based Audio, Data and Compressed Video at 100 Mb/s, 1080/60i, 1080/50i, 720/60p, 720/50p
. The Society of Motion Picture and Television Engineers (04/06).
[SMPTE421M]
SMPTE 421M. Final Draft SMPTE Standard -
VC-1 Compressed Video Bitstream Format and Decoding Process
(01/06).
[Telea04]
A.Telea.
An Image Inprinting Technique Based on the Fast Marching Method.
Journal of Graphic Tools, vol.9, No.1, ACM Press, 2004.
[Tho91]
Spencer W. Thomas and Rod G. Bogart.
Color dithering
, Graphic Gems II, Academic Press, 1991, pp. 72-77.
[Ulichney93]
R.Ulichney.
Digital halftoning
. MIT press, 1993.
[Vincent91]
L.Vincent, P.Soille.
Watershed in Digital Spaces: An Efficient Algorithm Based on Immersion Simulation
. IEEE Transactions of Pattern Analysis and Machine Intelligence, vol.3, No.6, June 1991, pp.583-598.
[Vincent93]
L.Vincent.
Morphological Gray Scale Reconstruction in Image Analysis: Applications and Efficient Algorithms
. IEEE Transactions on Image Processing, vol.2, No.2, April 1993.
[Viola01]
P.Viola, M.J.Jones.
Rapid Object Detection using a Boosted Cascade of Simple Features
. Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2001), 2001.
[Wang02]
Z.Wang, A.C.Bovik.
A Universal Image Quality Index
. IEEE Signal Processing Letters, vol.9, No.3, March 2002, pp.81-84.
[Wolberg96]
G.Wolberg.
Digital Image Warping
. IEEE Computer Society Press, 1996.
[Zivkovic04]
Z.Zivkovic.
Improved Adaptive Gaussian Mixture Model for Background Subtraction
. International Conference Pattern Recognition, UK, August, 2004.

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