Methodology for Evidence Reconstruction in Digital Image Forensics
Methodology for Evidence Reconstruction in Digital Image Forensics

Keywords

digital forensics
copy-move forgery
keypoint
feature extraction
reconstruction

How to Cite

Kalpana Manudhane. (2014). Methodology for Evidence Reconstruction in Digital Image Forensics. Global Journal of Computer Science and Technology, 13(F9), 9–16. Retrieved from https://gjcst.com/index.php/gjcst/article/view/1523

Abstract

This paper reveals basics of Digital Image Forensics The paper describes the ways to manipulate image namely copy-move forgery copy region in image paste into another region in same image image splicing copy region in image paste into another image and image retouching The paper mainly focuses on copy move forgery detection methods that are classified mainly into two broad approaches- block-based and key-point Methodology generalized as well as approach specific of copy move forgery detection is presented in detail Copied region is not directly pasted but manipulated scale rotation adding Gaussian noise or combining these transformations before pasting The method for detection should robust to these transformations The paper also presents methodology for reconstruction if possible of forged image based on detection result
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