Distributed image processing using Hadoop and HIPI

In the present era, huge amount of data is being produced every single day. A significant portion of this massive data or big data is contributed by images. Besides the amount of data, the size and resolution of individual images is also increasing at a very fast pace, leading to more and more complex image processing algorithms which in turn pose great demand to computation power. This paper provides a solution to one such image processing application which analyzes the image-processing kernels from an industrial application: Organic-Light-Emitting-Diode (oled) Printing for OLED center detection. The application uses Hadoop and Hadoop Image Processing Interface HIPI for parallelizing the processing. Hadoop provides the parallel processing paradigm, which when used along with HIPI can provide significant performance improvements for processing images.