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Image Forensics to Detect Image Authenticity using Error Level Analysis and Noise Analysis Methods
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 28 |
| Year of Publication: 2023 |
| Authors: Ocha Maulidya, Imam Riadi |
10.5120/ijca2023923026
|
Ocha Maulidya, Imam Riadi . Image Forensics to Detect Image Authenticity using Error Level Analysis and Noise Analysis Methods. International Journal of Computer Applications. 185, 28 ( Aug 2023), 6-11. DOI=10.5120/ijca2023923026
Abstract
Digital development is so rapid that it is easy to change the image, especially the image on the image. It can be made and changed as desired if taking the definition of a digital image itself is evidence of information technology presenting an object in a computer device. Processing images like this is easy, even without leaving a trace of its use. The rapid development of editing tools makes manipulating image images easier for technology users. There are examples of three image manipulation techniques: splicing imagery, copy-move image, and retouching imagery. Image manipulation can also be dangerous because there are many cases of spreading unsubstantiated hoax news, including the spread of fake photos. If left unchecked, this will impact thinking and visualization, where people cannot distinguish between real and fake news. This is the basis for conducting this research, detecting changes in an image using the Error Level Analysis and Noise Analysis methods. This research is expected to produce and provide good results in detecting these image objects to help users and increase knowledge.
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