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→Optimizing Image Processing using Intel's Integrated Performance Primitives, Thread Building Blocks, and OpenMP w/ Comparison
'''Introduction:'''
In this project we will be comparing Intel's Integrated Performance Primitives , Thread Building Blocks, and OpenMP API to optimize image processing using parallel computing and vectorization. We selected three tasks for this project: image sharpening, brightening, and adjusting the saturation of an image. The run-time of each task is recorded and able to be compared by our demo program. We will also be comparing the implementation for each toolset we utilize.
In order to be able to more easily engage with image files, we will be utilizing the OpenCV library, leaning especially on the Mat class therein. The Mat class allows us to access the image as a n-dimensional array. Furthermore with our implementation we are able to rely on our parellelization choices instead of that built into the OpenCV library.
