Some Methods for Digital Image Forgery Detection and Localization
| dc.contributor.author | Jaiswal A.K.; Singh S.; Tripathy S.K.; Tagore N.K.; Shahi A. | |
| dc.date.accessioned | 2025-05-23T11:18:20Z | |
| dc.description.abstract | Digital images are a critical wellspring for information. However, a forged image has the potential to spread wrong information and thus may defeat the cause. This resulted in wide research interest in developing image authenticity mechanisms. To be specific, digital image forgery (DIF) detection is an open research area. This paper first provides an overview of (DIF) and its consequences to society at large. Next, image authentication techniques developed by us in the recent past are briefly discussed. In the end, key future research directions are listed with concluding remarks. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. | |
| dc.identifier.doi | https://doi.org/10.1007/978-981-19-7615-5_11 | |
| dc.identifier.uri | http://172.23.0.11:4000/handle/123456789/8386 | |
| dc.relation.ispartofseries | Lecture Notes in Networks and Systems | |
| dc.title | Some Methods for Digital Image Forgery Detection and Localization |