Image Forgery Detection
AbstractImage forgery is a manipulation of digital image to hide or remove some meaningful information or object in the image. The detection of forged image is driven by need of authenticity and to maintain integrity also confidentiality of the image. “Image Forgery Detection” system is a system to detect the copy-move and copy-paste forged activity in an image. Copy-move image was the forged activity that happen by copying a region in an image and pasting it on another region in the same image, meanwhile the copy-paste image is creating a new image by replacing a region in two different image. By using existing algorithm of Simple Linear Iterative Clustering (SLIC) which to segment the host image into irregular blocks, Discrete Wavelength Transform (DWT) is to analyzed the frequencies of super pixel and Scale Invariant Feature Transform (SIFT) for the block-based feature extracted. The result finding from the module testing and test case was as expected result of the actual result.
Submission of an original manuscript to the Journal of Computing Technologies and Creative Content (JTeC) will be taken to mean that it represents original work not previoussly published, that it is not being considered elsewhere for publication. All submitted articles that are published by JTeC cannot be published anywhere by the authors unless with the permission by JTeC Editors. JTeC reserves the right to the publications of the articles it published, and reserves the right to reuse the articles elsewhere for academic purposes, while still retaining the names of the original authors with the original articles.
JTeC takes the stance that the publication of scholarly research is meant to disseminate knowledge and in a not-for-profit regime, benefits neither publisher nor author financially. It sees itself as having obligation to its author and to society to make content available online now that the technology allows for such possibility.