All Articles Tagged image processing
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| Descriptor Codes and Parameters for ippi Functions[Knowledgebase] DescriptorsIntel® IPP Image processing function naming conventions are same as other Intel IPP APIs. In general Intel IPP image processing naming convention can be described as below. ippiBasename[_modifiers]_types[_descriptors]This... Posted: 2010-11-10 08:00:00 by Naveen Gv (Intel) | image processing, intel image processing functions, Intel IPP Image processing function descriptor, ippi descriptor, ippiRect, ippiResizeSqrPixel, ippiSize, srcRoi, widthstep |
| Accelerate Your Application via IPP Image Processing in Parallel Studio - C code vs. IPP Resize[Knowledgebase] SummaryIntel® Parallel Studio 2011 release recently. IPP as one key component of Intel® Parallel Composer provide user a easy and faster way to accelarate digital application. This article shows... Posted: 2010-08-29 09:00:00 by Ying H (Intel) | Composer, composer 2011, image processing, IPP 7.0, ippiResize, ippiResizeSqrPixel, MSVC project, msvc2005, msvc2010, parallel Studio 2011, sample code |
| Intel's Ct Technology Code Samples[Knowledgebase] Overview To help jumpstart your application development, we provide code samples that illustrate the use of Intel’s Ct Technology in various workloads including those often used for financial services,... Posted: 2010-04-06 21:00:00 by AmandaS (Intel) | binomial tree, black scholes, BLAS, convolution, example, example code, FFT, fftw3, graphics, histogram, image processing, IPP, lapack, medical imaging, MKL, monte carlo, poisson, random number generator, ray tracing, sample, sample code |
| Deferred Mode Image Processing in Intel(R) IPP[Knowledgebase] The Intel® IPP Deferred Mode Image Processing (DMIP) library is a C++ library built on Intel IPP which provides very fast processing of large images. DMIP optimizes memory access by organizing an image... Posted: 2010-02-13 09:00:00 by Walter Shands (Intel) | DMIP, image processing, Intel IPP, IPP, sobel edge detector |
| Deferred Mode Image Processing Framework: Simple and efficient use of Intel® multi-core technology and many–core architectures with Intel® Integrated Performance Primitives[Knowledgebase] Introduction In recent years, the resolution of image sensors has increased significantly, but image processing algorithms have not improved in efficiency. The bottleneck for nearly all image processing... Posted: 2010-02-13 00:00:00 by Igor Belyakov (Intel) | DMIP, image processing, IPP, sobel edge detector, vcsource_domain_media, vcsource_index, vcsource_os_linux, vcsource_os_windows, vcsource_platform_desktoplaptop, vcsource_type_techarticle, visual computing |
| Wiener Filtering Using Intel® Advanced Vector Extensions[Knowledgebase] 1 IntroductionIntel® Advanced Vector Extensions (Intel® AVX) is a 256 bit instruction set extension to Intel® Streaming SIMD Extensions (Intel® SSE) and is designed for applications that are floating... Posted: 2010-01-26 00:00:00 by Kit Chung (Intel) | AVX, image processing, least mean square filtering, Parallel Programing, Sandy Bridge, SSE, vcsource_domain_media, vcsource_index, vcsource_os_linux, vcsource_os_windows, vcsource_platform_desktoplaptop, vcsource_type_techarticle, video processing, visual computing, wiener filtering |
| Image Processing Acceleration Techniques using Intel® Streaming SIMD Extensions and Intel® Advanced Vector Extensions[Knowledgebase] Introduction Modern Intel processors features acceleration through the use of SIMD (Single Instruction Multiple Data) instructions that include a wide range of available Intel® Streaming SIMD Extensions... Posted: 2010-01-26 00:00:00 by Petter Larsson (Intel) | AVX, compiler, image processing, media, SSE, vcsource_domain_media, vcsource_index, vcsource_os_windows, vcsource_platform_desktoplaptop, vcsource_type_techarticle, visual computing |
| Optimization of Image Processing Algorithms: A Case Study[Knowledgebase] Abstract High quality image and video processing has become an important part in many professional and consumer applications. Unfortunately, it often comes with a high performance price. In such cases,... Posted: 2009-09-22 00:00:00 by Guy Ben Haim (Intel) | halftoning, image processing, SSE, vcsource_domain_media, vcsource_index, vcsource_os_linux, vcsource_os_windows, vcsource_platform_desktoplaptop, vcsource_product_icc, vcsource_type_casestudy, visual computing |
| Using Intel® Streaming SIMD Extensions and Intel® Integrated Performance Primitives to Accelerate Algorithms[Knowledgebase] By Sam Siewert Algorithm Acceleration Using Single Instruction Multiple Data Computing architecture can be described at the highest level using Flynn's architecture classification scheme as single instruction,... Posted: 2009-12-20 00:00:00 by Vincent Scotto (Intel) | image processing, Intel IPP, Intel SSE, IPP, simd, vcsource_domain_media, vcsource_index, vcsource_os_linux, vcsource_os_windows, vcsource_platform_desktoplaptop, vcsource_product_icc, vcsource_type_techarticle, visual computing |
| The Intel® AVX Realization of Lanczos interpolation in Intel® IPP 2D Resize Transform[Knowledgebase] Download PDF Download The Intel® AVX Realization of Lanczos interpolation in Intel® IPP 2D Resize Transform [PDF 174KB] Introduction This paper presents the interpolation algorithm based on... Posted: 2010-01-24 09:00:00 by Vincent Scotto (Intel) | AVX, AVX optimization in IPP, image processing, ipp filter, ippiResize, resize, Sandy Bridge, simd, SSE |
| (Intel® IPP) - Calling Image Processing Functions[Knowledgebase] Calling Intel® IPP Functions Color Conversion from YUV 420 to RGB Results in an Upside-down Image How can I convert a 24-bit RGB bitmap to a 32-bit RGBA bitmap? How... Posted: 2009-06-20 08:00:00 by Ying H (Intel) | color conversion, image processing, ippi, RGB, YCbCr, yuv422 |