Identification and Analysis of Digital Image Forgery
| Author(s) | : | Dibyanshu Chatterjee, Niveditha CA |
| Institution | : | Computer Science Engineering Department, MS Ramaiah University of Applied Sciences, Bangalore |
| Published In | : | Vol. 7, Issue 10 — October 2020 |
| Page No. | : | 49-55 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Digital images are anything but difficult to control and alter because of accessibility of powerful imageprocessing and editing software. The presentation of the proposed strategy is shown on several forged images .There arevarious types of criminal forgeries like images made through PC graphic tools (like 3D rendering) which appears asthough genuine however are totally virtual and making a picture by changing its substance is another technique. Themost straightforward path is to cut an item from one image and addition it into another image. By introducing theoriginal and the forged digital images to different methodology like Pixel Subtraction, Block Matching, Region Masking,Light Variation and HSV level technique, forgery in an image can be detected. In all the techniques, an input forgeryimage is taken and processed at various levels utilizing level segmentation and filters. Then the processed imaged iscompared with the original image to detect where exactly the forgery has taken place. Finally, the results obtained fromboth the techniques are analyzed and compared to determine their level of accuracy.
Dibyanshu Chatterjee, Niveditha CA, “Identification and Analysis of Digital Image Forgery”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 10, pp. 49-55, October 2020.
