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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | JPEG Tamper Detection Using Error Level Analysis And Hybrid Transfer Learning |
| Authors Name: | Monish K , Jaya Shankar G S , Rithik G , Amith Kumar R , Sreenivasa N |
| Unique Id: | IJSDR2207076 |
| Published In: | Volume 7 Issue 7, July-2022 |
| Abstract: | Image manipulation is becoming a serious concern in many fields nowadays as the available software to manipulate images is increasing, at the same time it is becoming increasingly hard to authenticate between original and duplicate images. To address this problem, we discuss a few of the famous transfer learning architectures in image classification and how it is used to authenticate between original and manipulated images in the JPEG format, with the use of lossy double compression for preprocessing. The classification is further improved by the new Deep learning architecture, a similar combination of AlexNet and InceptionNet. The paper mainly focuses on detecting passive image tampering with the help of the CASIA V2 dataset. And have provided good results both on test and validation data. |
| Keywords: | Image Classification, JPEG, Error Level Analysis (ELA), Lossy compression, Transfer learning, LeNet-5, AlexNet, VGG, Inception block, CNN. |
| Cite Article: | "JPEG Tamper Detection Using Error Level Analysis And Hybrid Transfer Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 7, page no.528 - 534, July-2022, Available :http://www.ijsdr.org/papers/IJSDR2207076.pdf |
| Downloads: | 000338719 |
| Publication Details: | Published Paper ID: IJSDR2207076 Registration ID:200972 Published In: Volume 7 Issue 7, July-2022 DOI (Digital Object Identifier): Page No: 528 - 534 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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