… We also analyze their working methodology and datasets used by them … , we analyze the
deep learning-based image forgery detection methods along with traditional detection methods. …

… methods for detecting the presence of image forgeries [7,8,9]. Conventional image forgery
detection techniques detect forgeries … artifacts present in a forged image, such as changes in …

… active image forgery detection techniques, a forgery is detected on the basis of prior embedded
information in the input image … A brief summary of existing techniques is presented in this …

… features from image. In this paper, we present a detailed survey of deep learning based
techniques for image forgery detection, outcomes of survey in form of analysis and findings, and …

… The passive image forgery detection technique can be generally grouped into five classes
… The main aim of this study was to develop a method for detecting the forged images with …

… the tampering and localization of tampering within the image. We will review the … image
manipulation detection methods for both single tampering type detection and multiple tampering …

… , we aim to design a robust image forgery detection method to defeat the lossy operations in
… the forgery detector, only focusing on the noise that may cause deterioration of the detection …

… Figure 1 shows the taxonomy for image manipulation and … image forgery detection techniques.
The remaining part of this section discusses the various types of image forgery techniques…

… The image forgery detection methods are broadly classified as active and passive forgery
detection methods. In … In summary, the block-based techniques can detect forgery in smooth …

… forgery is commonly used to conceal the reality in images. … a novel image forgery detection
technique based on image splicing … First, a given color image is transformed in YCbCr color …