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Title: :  A Novel Image Forgery Classification and Detection Using Residual Deep Learning
PaperId: :  19082
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 1 2023
DUI:    16.0415/IJARIIE-19082
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
D.Bhargaviraghu institute of technology
K.V.Satyanarayanaraghu institute of technology
B.S.Pandaraghu institute of technology

Abstract

computer engineering
Convolutional neural network, Neural networks, Forgery detection, Image compression, Image processing, TensorFlow, Keras, Python, Resnet.
Acquiring images has been increasingly popular in recent years, owing to the widespread availability of cameras. Images are essential in our daily lives because they contain a wealth of information, and it is often required to enhance images to obtain additional information. A variety of tools are available to improve image quality; nevertheless, they are also frequently used to falsify images, resulting in the spread of misinformation. This increases the severity and frequency of image forgeries, which is now a major source of concern. Numerous traditional techniques have been developed over time to detect image forgeries. In recent years, convolutional neural networks have received much attention, and RESNET + CNN has also influenced the field of image forgery detection. However, most image forgery techniques based on RESNET+CNN that exist in the literature are limited to detecting a specific type of forgery. As a result, a technique capable of efficiently and accurately detecting the presence of unseen forgeries in an image is required. In this paper, we introduce a robust deep learning-based system for identifying image forgeries in the context of double image compression. The difference between an image’s original and recompressed versions is used to train our model. The proposed model is lightweight, and its performance demonstrates that it is faster than state-of-the-art approaches. The experiment results are encouraging, with an overall validation accuracy of 98.23%.

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IJARIIE D.Bhargavi, K.V.Satyanarayana, and B.S.Panda. "A Novel Image Forgery Classification and Detection Using Residual Deep Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 1 2023 Page 720-726
MLA D.Bhargavi, K.V.Satyanarayana, and B.S.Panda. "A Novel Image Forgery Classification and Detection Using Residual Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 9.1(2023) : 720-726.
APA D.Bhargavi, K.V.Satyanarayana, & B.S.Panda. (2023). A Novel Image Forgery Classification and Detection Using Residual Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education, 9(1), 720-726.
Chicago D.Bhargavi, K.V.Satyanarayana, and B.S.Panda. "A Novel Image Forgery Classification and Detection Using Residual Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 1 (2023) : 720-726.
Oxford D.Bhargavi, K.V.Satyanarayana, and B.S.Panda. 'A Novel Image Forgery Classification and Detection Using Residual Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 1, 2023, p. 720-726. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Novel_Image_Forgery_Classification_and_Detection_Using_Residual_Deep_Learning_ijariie19082.pdf (Accessed : ).
Harvard D.Bhargavi, K.V.Satyanarayana, and B.S.Panda. (2023) 'A Novel Image Forgery Classification and Detection Using Residual Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, 9(1), pp. 720-726IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Novel_Image_Forgery_Classification_and_Detection_Using_Residual_Deep_Learning_ijariie19082.pdf (Accessed : )
IEEE D.Bhargavi, K.V.Satyanarayana, and B.S.Panda, "A Novel Image Forgery Classification and Detection Using Residual Deep Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 1, pp. 720-726, Jan-Feb 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Novel_Image_Forgery_Classification_and_Detection_Using_Residual_Deep_Learning_ijariie19082.pdf [Accessed : ].
Turabian D.Bhargavi, K.V.Satyanarayana, and B.S.Panda. "A Novel Image Forgery Classification and Detection Using Residual Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 1 ().
Vancouver D.Bhargavi, K.V.Satyanarayana, and B.S.Panda. A Novel Image Forgery Classification and Detection Using Residual Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(1) : 720-726. Available from: https://ijariie.com/AdminUploadPdf/A_Novel_Image_Forgery_Classification_and_Detection_Using_Residual_Deep_Learning_ijariie19082.pdf
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