Intel® Integrated Performance Primitives (Intel® IPP) Developer Guide and Reference

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Date 3/22/2024
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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.

[ScrewBender]

A. Powell, J. Rossignac,

ScrewBender: Polyscrew Subdivision for Smoothing Interpolating Motions , IEEE Computer Graphics and Applications, vol.28, No. 1, January 2008
[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.