• Dr. Jaynesh Desai

In light of the widespread use of strong image manipulation tools, the authenticity of photos has been a subject of increasing question. This is especially true in situations where the impact of the images is significant, such as in the context of legal processes, the distribution of news, and insurance claims. The purpose of this study is to investigate the field of picture forensics by utilizing sophisticated methods derived from the existing body of research in order to determine the authenticity of photos that have been subjected to possible modifications. The focus is on a particular type of forgery known as the copy-move attack. This type of forgery involves the replication and transposition of a portion of an image within the same image. The purpose of this is to either generate duplicates or to disguise elements that are already present. In order to uncover instances of this counterfeit, a methodical methodology is utilized. This method involves the segmentation of images into square blocks that overlap one another, and the Discrete Cosine Transform (DCT) components are utilized as representations for these blocks. Gaussian Radial Basis Function (RBF) kernel Principal Component Analysis (PCA) is applied in order to achieve a reduced-dimensional feature vector representation. This is done in recognition of the challenges that are posed by the high dimensionality of the feature space. As a result, the efficiency of the subsequent feature matching stage is improved. Experiments of a rigorous nature are carried out in order to evaluate the effectiveness of the suggested method by contrasting it with the most advanced techniques currently available. Even in situations when photos are contaminated with blurring, noise, and compression, the results of these trials indicate the precision of the proposed technique in recognizing copy-move forgeries. This is the case especially in situations where the images are compressed. Particularly noteworthy is the fact that the method has a commendable capacity to identify several instances of copy-move forgeries. Consequently, the strategy that was provided emerges as a method that is both computationally efficient and reliable for detecting copy-move fraud. This, in turn, strengthens the credibility of images in applications that are oriented around evidentiary objectives. Its ability to work consistently under a wide range of settings demonstrates that it has the potential to be an invaluable instrument for maintaining the authenticity of visual information in an era that is characterized by the widespread utilization of sophisticated picture altering technologies.

CMFD, DCT, Image Forgery, PCA

"DETECTING DIGITAL IMAGE COPY-MOVE FORGERY THROUGH ADVANCED IMAGE FORENSICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.a440-a443, February-2024, Available :http://www.jetir.org/papers/JETIR2402056.pdf

"DETECTING DIGITAL IMAGE COPY-MOVE FORGERY THROUGH ADVANCED IMAGE FORENSICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppa440-a443, February-2024, Available at : http://www.jetir.org/papers/JETIR2402056.pdf