A Methodological Review on Copy-Move Forgery Detection for Image Forensics (original) (raw)

Recent Block-based Methods of Copy-Move Forgery Detection in Digital Images

2015

Photographs are taken as valid evidences in various scenarios of our day to day life. Because of the developments in the field of Image Processing, altering images according to ones need is not a difficult task. Techniques of Image Forensics play its crucial role at this juncture. One of the mostly found types of image tampering is Copy-Move forgery. A copy-move forgery is performed by copying a region in an image and pasting it on another region in the same image, mostly after some form of post-processing like rotation, scaling, blurring, noise addition, JPEG compression etc. Two types of copy-move forgery detection techniques exist in literature. They are the Block based methods and Key-point based methods. Both the methods have their own advantages and limitations. This paper presents a survey on the recent developments in block based methods.

Techniques of Copy Move Forgery Image Detection -Review

— Copy Move forgery is common type of image forgery. A part of image is replaced (copied and pasted in the same image) with another part from the same image. The purpose behind this kind of forgery is may be to create duplication or to hide some particular detail of the image. Using some image editing tools someone can easily tamper the image. This results into loss of image authenticity or image integrity. This paper discusses on different methods used for detection of image forgery. A considerable number of different algorithms have been proposed focusing on different types of post processed copies. Here the aim is to discuss on different copy-move forgery detection algorithms.

Copy move Forgery Detection Approaches: A Survey

ADBU Journal of Engineering Technology (AJET), 2015

Copy-move forgery detection is one of the most popular image forgery technique in which a part of a digital image is copied and pasted to another part in the same image with the intension to make an object “disappear” from the image by covering it with a small block copied from another part of the same image. Hence, the main task of copy-move forgery detection is to detect image areas that are same or almost similar within an image. These method in general use two approaches namely key-point based and block based. This paper provides a review of copy move forgery detection on various techniques. Keywords: Copy move forgery, Lexicographical Sorting, Digital Image Forgery, Duplicated Region.

STUDY OF VARIOUS COPY MOVE FORGERY ATTACK DETECTION TECHNIQUES IN DIGITAL IMAGES

In today’s era of digital technology, security becomes a prominent issue while transferring data from one place to another place. A large amount of data is passed in form of digital images in various areas like military, security agencies, secured networks etc. With the advancement in technology & editing tools like Photoshop, Corel Draw and other software tools, it is very easy to tamper the images. Image forensics determines the authenticity of the images. Image tampering (manipulation) is also called as image forgery. Copy move forgery is more critical in which one part of the image is copied and pasted into another location of the same image to hide details. It can be a crucial task where images are used as evidence like court, medical department etc. Detection of forgery can be difficult if forger has applied some post processing operations like resizing, filtering, rotation, JPEG compression etc. It is seen that image forgery can results into various security issues and hence an efficient system is required to detect the forgery into images. In this paper, we have discussed the various copy move forgery detection techniques which includes Block based & Key Point based techniques

Copy-Move Forgery Detection Technique for Forensic Analysis in Digital Images

Mathematical Problems in Engineering, 2016

Due to the powerful image editing tools images are open to several manipulations; therefore, their authenticity is becoming questionable especially when images have influential power, for example, in a court of law, news reports, and insurance claims. Image forensic techniques determine the integrity of images by applying various high-tech mechanisms developed in the literature. In this paper, the images are analyzed for a particular type of forgery where a region of an image is copied and pasted onto the same image to create a duplication or to conceal some existing objects. To detect the copy-move forgery attack, images are first divided into overlapping square blocks and DCT components are adopted as the block representations. Due to the high dimensional nature of the feature space, Gaussian RBF kernel PCA is applied to achieve the reduced dimensional feature vector representation that also improved the efficiency during the feature matching. Extensive experiments are performed t...

COPY MOVE FORGERY IMAGE DETECTION

We propose a method copy-move image forgery detection using feature point extraction and morphological operations. The proposed scheme integrates both block-based and key point-based forgery detection methods. First, segments the host image into non-overlapping and irregular blocks adaptively. Then, the feature points are extracted from each block as block features, and the block features are matched with one another to locate the labeled feature points; this procedure can approximately indicate the suspected forgery regions. To detect the forgery regions more accurately, And then merges the neighboring blocks that have similar local color features into the feature blocks to generate the merged regions; finally, it applies the morphological operation to the merged regions to generate the detected forgery regions. The experimental results indicate that the proposed copy-move forgery detection scheme can achieve much better detection results even under various challenging conditions.