Comparative Study of Various Image Processing Tools with BigData Images in Parallel Environment

Abstract

BigData refers to the collection of various kinds of data in a large amount. This data needs to be process through some tools as it can have some useful information. In order to process this data, Hadoop came in existence. It processes the data in parallel distributed environment. BigData contains various forms of data such as text, images, videos etc. In this paper we are going to discuss about image data. We need to perform image processing to process these BigData images. As BigData is very huge so the number of images to be processed is also very large. Image processing can be performed in parallel environment in order to speed up this process. There are various tools to process the images in parallel environment, such as: HIPI, OpenCV, CUDA, MIPr etc. In this paper we have performed a comparative study on these tools.