Accelerating the Process of Copy-Move Forgery Detection Using Multi-core CPUs Parallel Architecture

Abstract

AbstractCopy-move forgery is a popular type of forgery in digital images. In which, one part of the image is replicated within the same image at different locations. It is easy to do using one of the powerful image processing software. Because it is too simple to be made, anyone with low skills can forge many images in no time. Many copy-move forgery detection techniques are presented every day, but the main common drawback is the high computation time that it takes to detect the final forged region due to the repetition of many complex computational processes. One of the suggested trends to solve this problem is using parallel architectures. However, it is still in its initial phase with little research presented. In this work, copy-move forgery detection methods are discussed from the standpoint of using parallel architectures. In order to solve the problem of computation time in previous related methods, it has been necessary to think of parallel solutions to accelerate the process of copy-move forgery detection. Multi-core CPUs are a powerful processing parallel architecture. Thus, a new Parallel Copy-Move Image Forgery Detection (PCMIFD) system is proposed using Multi-core CPUs. The proposed method has been tested and achieved a high speed-up rate till 7.4. As well, the results practically came close to the theoretical speedup rate.KeywordsCopy-move forgeryAcceleratingImage processingParallel computing