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Hegde, Dinesh G.
- Detection of Forged Images and Accuracy Assessment Over Authenticated Images
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Authors
Affiliations
1 Department of Information Science, SDM Institute of Technology, Ujire, IN
2 Department of Computer Science, SDM Institute of Technology, Ujire, IN
1 Department of Information Science, SDM Institute of Technology, Ujire, IN
2 Department of Computer Science, SDM Institute of Technology, Ujire, IN
Source
International Journal of Advanced Networking and Applications, Vol 15, No 3 (2023), Pagination: 5946 - 5951Abstract
Today manipulation of images drastically increasing in many fields of photography, this would cause the highly gradable threats. This makes misleading of authentication of communicational networks. The human eye cannot detect the manipulated image over original image. Similarly image to image feature transformation also cannot be achieved by human eye. This needs computer based learning techniques to identify image manipulation. Some of the state of art approaches was poor to classify and detect the manipulated images. This paper emphasizes the detection and assessment of forged content in manipulated images. This paper also implements the rate of false information added to original images and restore public confidence in the authenticity of images.Keywords
Forged, Compression, Detection, Analysis.Full Text
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