A white paper to describe Intel AVX Realization of Lanczos interpolation in Intel IPP 2D Transform functions.
The bottleneck for nearly all image processing algorithms is memory bandwidth. Deferred Mode Image Processing (DMIP), available with Intel® Integrated Performance Primitives (Intel® IPP), provides an efficient software solution for this.
This article show how to employ IPP image processing function to accelearte application and provide a sample to shows the performance difference between IPP and general C code on resizing image, which is wide-used functionality in image processing field.
This paper examines how to use Intel® SSE to accelerate an image processing application, how to take advantage of it using compiler directives for optimal SIMD code generation, and how to employ Intel® IPP to fully exploit SIMD acceleration.
This article details optimized implementations of data transformations and algorithms together with analysis comparing performance and providing speedup measurements for Intel® SSE optimized code and estimates for Intel® AVX optimized code.
Wiener filtering (also known as Least Mean Square filtering) is a technique for removing unwanted noise from an image. This article discusses Wiener filtering, and includes an example of code that has been optimized using Intel® AVX
High quality image and video processing has become an important part in many professional and consumer applications. This article shares insights and methods gained during a shared work by HP* Labs and Intel on optimizing several imaging algorithms.
Deferred Mode Image Processing (DMIP) in Intel® IPP provides solutions for pipelined image operations on larger images, utilizes in memory optimization and improves performance in a multithreading environment
This article explains the descriptor codes and Parameters used for Intel IPP functions with prefix ippi.
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