Intel® Software Network

 Intel® Integrated Performance Primitives (Intel® IPP) is an extensive library of multi-core-ready, highly optimized software functions for multimedia data processing, and communications applications.



Sign up now  for the Intel IPP 6.0 beta! The Intel IPP 6.0 beta introduces: new optimizations and support for Intel® Atom™ processors; improved support for statically-linked threaded applications; new data compression support for applications using zlib, gzip, bzip2, and LZO compression; new libraries for pipelined image processing; new unified image codec (UIC) frameworks and more!

Version 5.3 Available Now! Intel IPP 5.3 brings expanded functionality in data compression, image processing and more. For more details, please refer to the New Release information below.



Microsoft Visual Studio* Developers: Create Windows applications more rapidly from within Microsoft Visual Studio 2003, 2005 and 2008, with this versatile library of key algorithmic building-blocks for multimedia processing, data compression, encryption and more.

Intel IPP is one of the Intel® Performance Libraries, which provide optimizing software building blocks to complement Intel’s optimizing compilers and performance optimization tools. Intel IPP is available as a standalone product, or with the Intel® Compiler Professional Editions for a more complete and cost-effective solution.

Intel IPP’s thousands of functions cover essential, fundamental algorithms in the following domains:

Video Decode/Encode Audio Decode/Encode JPEG/JPEG2000 Data Compression Cryptography – CAVP Validated! Speech Coding Speech Recognition	Image Processing Image Color Conversion Computer Vision Signal Processing Vector/Matrix Mathematics String Processing
Intel® IPP Flash Demo

Intel IPP Product Brief [PDF 579KB]



Intel IPP is validated for use with multiple generations of Intel and compatible AMD* processors, and is backed by world-class support through the Intel® Premier Support program, and by developer community forums.

Multi-Core Processor Support


See an Introductory Video about Intel IPP and Multi-Threaded Applications.

Intel IPP 5.3 fully supports today’s multi-core computing platforms:

• Multi-Core Optimized, Threaded Functions: Over 1700 critical functions for Matrix and Vector mathematics, Signal/Image Filtering and Convolutions, Image/JPEG Compression, Color Conversion and Computer Vision are internally threaded to automatically maximize performance on multi-core systems.
• Multi-Core Optimized Code Samples: Many of the Intel IPP code samples are threaded to illustrate the effective use of Intel IPP functions in applications such as video encoding and decoding.
• Fully Thread-Safe Functions: All Intel IPP functions are fully thread-safe, simplifying integration into threaded applications.

To learn more about threading and Intel IPP functions visit our threading Frequently Asked Questions (FAQ) page.

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Performance-Optimized Functions

Intel IPP functions are designed to deliver performance beyond what optimized compilers alone can deliver, by matching the function algorithms to low-level optimizations based on the processor’s available features such as Streaming SIMD Extensions (SSE, SSE2, SSE3, SSSE3, and SSE4) and other optimized instruction sets.

Function Domain List
Video Coding	JPEG Coding	Audio Coding
Image Processing	Speech Coding	Speech Recognition
Computer Vision	Signal Processing	Vector/Matrix Operations
Color Conversion	Data Compression	Cryptography
String Processing	Ray Tracing/Rendering (New!)

Video Coding: Key algorithmic components for DV25/50/100, MPEG-2, MPEG-4, H.263, and MPEG-4 Part 10 (H.264) codecs. Figure 3 shows where Intel IPP video coding components (represented by the blue boxes) fit into the H.264 codec process flow. Functions include:

• Motion Compensation
• Motion Estimation
• Modified Discrete Cosine Transforms
• Quantization and Inverse Quantization
• Entropy Coding

The Video and Audio code samples illustrate sample codec implementations using Intel IPP functions.

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Image and 2D Signal Processing: Intel IPP is the premier library of image and 2D signal processing algorithms, and includes a rich selection of algorithms operating on images and regions within images (ROIs):

Transforms: Wavelet Fourier (FFT/DFT, real/complex) Windowing (Hamming, Bartlett) Discrete Cosine (DCT) Filtering Functions: General linear filtering Convolution/Deconvolution (LR and FFT) Box, Min, Max, Median Wiener Filters Fixed Filters (Prewitt, Sobel, Laplace, Gauss, Scharr, Roberts) Sharpening/Hipass/Lowpass Filters Geometric Transforms: Resize, Mirror, Rotate, Shear Affine transforms Perspective transformations Bilinear warping Coordinate remapping

Image Statistics: Sum, Integral, Tilted Integral Mean, Min, Max, Histogram, StDev Image Moments Image Norms (L1, L2, infinity) Image Quality Index calculation Proximity Measures (Cross-correlations, Square Distance) Threshold/Compare Operations Image Arithmetic/Logic Operations: Alpha composition Arithmetic operations (add/sub/mul/div/sqrt/sqr/ln/exp/abs) Logical operations (AND, OR, XOR, Shift, NOT) Image Data Exchange/Initialization: Copy/Set/Transpose Channel swapping Jaehne/Ramp/Zigzag initialization Memory allocation for multiple image types

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Computer Vision: Intel IPP includes optimized functions for many key computer-vision operations, for applications in security, machine control, media management, media annotation and more:

Feature Detection (Corner, Canny Edge Detection) Distance Transforms Image Gradients Flood Filling Motion Templates generation Optical Flow calculation (Lucas-Kanade)

Pattern Recognition (Haar classifiers) Pyramid functions (Gaussian/Laplacian pyramids) Universal Pyramid functions Camera Calibration 3D Reconstruction

Intel IPP based optimization is automatically included in the popular OpenCV open-source computer-vision library, for enhanced performance on real-time tasks, and Intel IPP was a key software component in the winner of the 2005 DARPA Grand Challenge.

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Color Conversion: Today’s explosion of digital media in multiple formats brings the need to convert digital media among different color representations. Intel IPP provides a rich set of optimized color-conversion routines on 32/24/16-bit-per-pixel formats:

Color Model Conversion: RGB, YUV, YCbCr, BGR, CbYCr, HSV, LUV, Lab, YCC, HLS, SBGR, YCoCg, YCCK, XYZ, CMYK Color Format Conversions: YCbCr422, YCbCr420, YCbCr411, CbYCr422, BGR565, BGR555, BGR565Dither

Lookup Table Conversions (Linear/Cublic/Palette) Color to Greyscale Conversions (Fixed/Custom coefficients) Image Bit Resolution Reductions Color Twist Conversions (integer/float pixel values) Gamma Corrections (Forward/Backward)

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String Processing: Build optimized text database management, search and retrieval, or document indexing processing into your applications using Intel IPP’s optimized string operations.

Substring substitution/insertion String concatenation/splitting Upper/lower case conversions

String/Substring matching Regular Expression matching Hash value calculation

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JPEG Coding: Key algorithmic components for JPEG, JPEG 2000, and Motion JPEG codecs. Figure 4 shows where Intel IPP JPEG coding components (represented by the blue boxes) fit into the JPEG and JPEG 2000 codec process flow.

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Speech Coding: Intel IPP includes a comprehensive set of routines supporting the following speech codecs/functions:

G.722.1 G.722 Sub-Band ADPCM G.723.1 G.726 G.728 Echo Cancellation

G.729 GSM-AMR AMR-Wideband GSM Full Rate Companding

The freely-downloadable Intel IPP Universal Speech Class (USC) code samples illustrate the use of the low-level Intel IPP functions to build speech codecs.

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Signal Processing: Includes signal processing features for the following:

Filtering and Convolution: Finite Impulse Response (FIR) Infinite Impulse Response (IIR) Median filtering Cyclic convolution Auto/Cross-correlation Transforms: Fourier (FFT, DFT, Goertzel) Discrete Cosine Transforms (DCT) Hilbert Transforms Wavelet Transforms (fixed/custom filters) Power spectrum calculation Windowing/Sampling: Upsampling/Downsampling Windowing (Bartlett/Blackman/Hamming/Hann/Kaiser)

Array/Signal Initialization/Manipulation: Move/Copy/Set/Zero Tone/Triangle/Ramp/Jaehne Generation Random vector generation (Uniform/Gaussian) Array allocation Real/Complex conversion Polar/Cartesian conversion Array/Signal statistics: Sum/Max/Min/Mean/StdDev/Norm Dot products Thresholding Viterbi decoding Array Arithmetic/Logic Operations: Arithmetic operations (add/sub/mul/div/sqrt/sqr/ln/exp/abs) Logical operations (AND, OR, XOR, Shift, NOT) Array sorting Magnitude/Phase

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Data Compression: In addition to video, audio and image compression with codecs, Intel IPP provides functions for lossless compression methods, such as those used in the popular “zlib” (inflate and deflate) and “libbzip2” libraries.

Burrows-Wheeler-Transform techniques: Burrows-Wheeler Transform (BWT) Generalized Interval Transform Move-to-Front (MTF) Run-length encoding (RLE)

Entropy coding: Huffman coding Variable-Length Coding (VLC) Dictionary-based Compression: LZSS encode/decode LZ77 encode/decode

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Audio Coding: Key algorithmic components for MP3,and AAC codecs. Figure 5 shows where Intel IPP JPEG coding components (represented by the blue boxes) fit into the AAC codec process flow. Functions include:

• Huffman Coding
• Spectral Data Pre-Quantization
• Modified Discrete Cosine Transforms
• Block Filtering
• Frequency Domain Prediction
• Spectral Band Replication
• Fast Fourier Transforms

The Video and Audio code samples illustrate sample codec implementations using Intel IPP functions.

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Speech Recognition: Build advanced speech recognition, Voice-over-IP, and voice annotation capabilities in applications, using Intel IPP’s broad range of speech-recognition capabilities:

Feature Processing Model Evaluation Model Estimation Model Adaptation Vector Quantization

Acoustic Echo Cancellation (AEC) Polyphase Resampling Advanced Aurora Functions Ephraim-Malah Noise Suppression Voice Activity Detection

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Vector/Matrix Operations: Intel IPP contains a rich set of matrix and vector operations for a wide variety of applications, including physics modeling and 3D transform/lighting calculations.

Matrix algebra: Eigenvalue/eigenvector calculation Least Squares (QR decompositions/back-sub) Linear Systems (LU/Cholesky) Region-of-Interest (ROI) extraction Fast copy of vectors/matrices

Vector algebra: Dot products L2 norm calculation “saxpy” (ax + y) operations Linear combination (ax + by) Power/root functions Exponential/Logarithmic/Erf/Erfc functions Trigonometric/Hyperbolic functions Polar/Cartesian conversion

For applications requiring high-performance linear algebra operations on very large data sets, the Intel® Math Kernel Library may also be of interest.

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Cryptography: Use Intel IPP to quickly build robust, high-performance cryptographic modules and applications. Below are some of the many cryptographic building blocks included in Intel IPP’s cryptography functions.

Symmetric Ciphers: Block Ciphers (AES/Rijndael, DES, Triple DES, Blowfish, Twofish) Stream Ciphers (ARCFour) One-way Hashing: Generalized Hashing (MD5, SHA1-512) Mask Generation (MD5, SHA1-512) Data Authentication: Keyed Hash (HMAC-MD5, HMAC-SHA1-512) Data Authentication Functions (DES, TDES, Rijndael, Blowfish, Twofish)

Asymmetric Cryptography: Elliptic curve cryptography (GF(p) and GF(2m) RSA algorithm (RSA-OAEP, RSA-SSA) Discrete-Logarithm Cryptography Big-Number arithmetic Montgomery reduction Pseudo-random number generation Prime number generation

Intel IPP’s cryptographic functions have been validated according to the Cryptographic Algorithm Validation Program (CAVP).

Name	Standards/Certificate
Discrete Logarithm (Digital Signature Standard)	FIPS 186-2 / Cert 190
Integer Factoring (Digital Signature Standard)	FIPS 186-2, ANSI X9.31-1998 / Cert 181
Eliptic Curve Digital Signature Algorithm (ECDSA)	FIPS 186-2, ANSI X9.62-1998 / Cert 40
Random Number Generator	FIPS 186-2 / Cert 245

Note: To access the Cryptography Library, you must request access from Intel.

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Ray-Tracing and Rendering: Core operations used in ray-tracing, realistic image rendering, and physics applications:

Bounding-box calculations Object-ray intersections Shadow/Reflection calculations

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Expanded Data Compression Functions and Code Samples

The Data Compression code samples have been expanded, and now include compression/decompression utilities that are command-line compatible with gzip and bzip2. Scripting applications can use these sample applications to accelerate server-side data management applications, and more. In addition, Intel IPP 5.3 now includes full support for Run-Length Encoding (RLE) data compression.

Optimized for the 45-nm Intel® Core™ 2 Processor Family

Intel IPP 5.3 delivers new performance optimizations specially targetted at the 45-nm Intel® Core™2 processor family. The 45-nm Intel Core 2 processor family includes new features such as Intel® Streaming SIMD Extensions 4 (Intel® SSE4), a set of 47 new instructions representing the most significant improvement to the Intel® 64 instruction set architecture since 2001.

New Operating System Support Intel IPP 5.3 expands the range of supporting operating systems, including:

• Apple* Mac OS* X 10.5
• Ubuntu* and Debian* Linux distributions

JPEG and JPEG2000 Codec support for Microsoft .NET*

Intel IPP 5.3 now provides code samples for JPEG and JPEG2000 encoding/.decoding under the Microsoft* .NET* framework.

Operating Systems
Intel IPP 5.3 supports Windows Vista and 64-bit Mac OS X applications. Code re-use and cross-platform operating system development is simplified by having one library API for Windows*, Linux* and Mac OS* X.

Development Environments
Intel IPP is fully compatible with other development tools from Intel, such as compilers, performance and threading analyzers, and other Intel Performance Libraries. In addition, Intel IPP is easily used and integrated with popular development tools and environments, such as Microsoft Visual Studio*, Xcode*, Eclipse*, and the GNU Compiler Collection (GCC).

Processors

• Multi-core processors, including Intel® Core™2 Quad, Intel® Core™2 Extreme, Intel® Core™2 Duo, Intel® Core™ Duo, Intel® Xeon® and Intel® Pentium® D processors
• Intel® 64 architecture-based systems, including Intel Core 2 processors, Intel Xeon processors, Intel Pentium D processors, and compatible AMD processors.
• IA-32 architecture-based processors, including Intel® Core™ processor family, Intel® Pentium® processors, and compatible AMD processors.
• Intel XScale® microarchitecture-based processors, including Intel® IXP4xx processors.

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Every purchase of an Intel® Software Development Product includes a year of support services, which provides access to Intel Premier Support and all product updates during that time. Intel Premier Support gives you online access to technical notes, application notes, and documentation. Install the product, and then register to get support and product update information.

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Please refer to the section below for installation requirements and system requirements that match your application’s target platform.

Application Target Platforms

32-bit Intel® architecture Platforms	Intel® Core™ 2 processor family( including 45nm processors) Intel Core processor family Intel® Pentium® M processors Intel ultra-mobile processors (A100, A110, and 45 nm processors) Intel Pentium D processor Intel® Pentium® 4 processor Intel® Xeon® processors(3000, 5000, 7000 series) Other compatible processors such as AMD Athlon* and Opteron* processors
64-bit Intel 64 architecture-based platforms	Intel Core 2 processor family(including 45nm processors) Intel ultra-mobile processors (45 nm processors) Intel Pentium D processor Intel Pentium 4 processor Intel Xeon processors(3000, 5000, 7000 series) Other compatible processors such as AMD Athlon and Opteron processors
64-bit IA-64 architecture-based platforms	Intel® Itanium® processors
Intel XScale microarchitecture-based platforms	Intel IXP4xx Processors with Intel XScale® technology

32-bit IA-32 Architecture-Based and Compatible Platforms
(Intel Core 2 processor family, Intel Core processor family, Intel Pentium processors, and compatible AMD processors)

	OS Version	Supported Compilers
Microsoft Windows	Windows XP, SP1 or SP2 Windows Vista Windows Server* 2003	Intel® C++ Compiler 10.1 ,10.0, 9.1 for Windows Microsoft Visual C++* 2003, 2005 Microsoft eMbedded Visual C++ 4.0 with Service Pack 4
Linux	Ubuntu 6.04, 7.10 Debian 3.1r5, 4.0 Red Hat Enterprise Linux* 3, 4 and 5 Red Hat Fedora Core 4, 5 SUSE Linux Enterprise Server* 9 or 10 Red Flag DC Server 5.0 Mandriva 10.1 MontaVista 3.1, 4.0 Linux Standard Base 3.1	Intel C++ Compiler version 10.1, 10.0, 9.1 for Linux or later Linux Developer Tools installed, including gcc, g++, and related tools
Mac OS X	10.4.3 or later	Intel C++ Compiler 10.1, 10.0, 9.1 for Mac OS X, including Professional Edition GNU Compiler Collection 4.0 or later

64-bit Intel 64 Architecture-Based Platforms
(Intel Core 2 processor family, Intel Pentium D processors, Intel Xeon processors, and processors from AMD compatible with Intel 64 architecture)

	OS Version	Supported Compilers
Microsoft Windows	Windows XP 64-bit Edition Windows Server 2003 Windows XP 64-bit Edition	Intel C++ Compiler 10.1, 10.0, 9.1 for Windows Windows Server 2003 with Service Pack 1 SDK
Linux	Ubuntu* 6.04, 7.10 Debian* 3.1r5, 4.0 Red Hat Enterprise Linux* 3, 4 and 5 Red Hat Fedora Core 4, 5 SUSE Linux Enterprise Server* 9 or 10 Red Flag Linux DC Server 5.0 Mandriva 10.1 Linux Standard Base 3.1	Intel C++ Compiler 9.0 for Linux or later Linux Developer Tools installed, including gcc, g++, and related tools
Mac OS X	10.4.6 or later	Intel C++ Compiler 10.1 and 10.0 for Mac OS X GNU Compiler Collection 4.0 or later

64-bit IA-64 Architecture-Based Platforms
(Intel Itanium processors)



Linux Standard Base 3.1

	OS Version	Supported Compilers
Microsoft Windows	Windows Server 2003	Intel C++ Compiler 10.1, 10.0, and 9.1 for Windows Microsoft Platform SDK February 2003
Linux	Ubuntu* 6.10, 7.10 Debian* 3.1r5, 4.0	Red Hat Enterprise Linux 3, 4 and 5 SUSE Linux Enterprise Server 9 or 10 Mandriva 10.1 SGI Propack 4.0, 5.0	Intel C++ Compiler 9.0 for Linux or later Linux Developer Tools installed, including gcc, g++, and related tools

Embedded Applications on Intel XScale Microarchitecture-based Platforms
(Intel IXP4xx Product Line of Network Processors)

	OS Version	Supported Compilers
Microsoft Windows	Windows CE 6.0	Microsoft eMbedded Visual C++* 4.0 with Service Pack 4
Linux	MontaVista Linux* 4.0 CEE LE MontaVista Linux 3.1 Pro BE	iwmmxt_le-gcc (MontaVista) for LE applications xscale_be-gcc (MontaVista) for BE applications

Installation Requirements

	Supported Software / Hardware
Operating Systems	Microsoft Windows: Windows Vista Windows XP, SP1 or SP2 Windows Server 2003, SP1 or SP2 Linux: Ubuntu 6.04, 7.10 Debian 3.1r5, 4.0 Red Hat Enterprise Linux* 3, 4 and 5 Red Hat Fedora Core 4, 5 SUSE Linux Enterprise Server* 9 or 10 Red Flag DC Server 5.0 Mandriva 10.1 Mac OS X: Version 10.4.3 or later
Processor Requirements	IA-32 architecture-based and compatible platforms: Intel® Pentium® III processor or later, 400MHz or faster Any Intel Core family processor Any Intel Xeon processor Compatible AMD processors Intel 64 architecture-based and compatible platforms: Any Intel Core family processor Any Intel Xeon processor Any Intel Pentium D processor Compatible AMD processors Intel Itanium processor-based platforms: Any Intel Itanium processor
Minimum Disk Space for Install	400 MB for each Application Target Platform