Article: Image forgery detection on multi-resolution splicing attacks using DCT and DWT Journal: International Journal of Information and Computer Security (IJICS) 2024 Vol.25 No.1/2 pp.96 - 115 Abstract: Digital images play a vital role in this age of digitisation. Digital images can be easily forged by image editing tools intentionally or unintentionally. After forgery, these images are difficult to detect with the naked eye directly, which creates social and legal troubles in feature vectors. Hence, more efficient techniques need to be evolved that can easily detect the alterations in the digital image. Various methods have been proposed to carry out forensic analysis, but not so accurate and more time-consuming. In this paper we have proposed an innovative image forgery detection technique on copy-move and splicing attacks and the image authentication using discrete cosine transform (DCT) and discrete wavelet transform (DWT). The proposed technique detects the forgery regions in the images more accurately. The DCT and DWT techniques are mainly used for reduction in the dimension of the cover image and further partitioning into fixed sized non-overlapping blocks. This method significantly improves the detection of spliced area, the execution time, and accuracy result. Moreover, this technique is robust towards images with rotation, scaling, multiple copy-move forgery attack, splicing, etc. It provides a reliable and efficient solution for detection and ensuring image authenticity. Inderscience Publishers - linking academia, business and industry through research

Title: Image forgery detection on multi-resolution splicing attacks using DCT and DWT

Authors: Bhavani Ranbida; Debabala Swain; Bijay Kumar Paikaray

Addresses: Department of Computer Science, Rama Devi Women's University, Bhubaneswar, India ' Department of Computer Science, Rama Devi Women's University, Bhubaneswar, India ' Centre for Data Science, Department of Computer Science and Engineering, Siksha 'O' Anusandhan (Deemed to be) University, Odisha, India

Abstract: Digital images play a vital role in this age of digitisation. Digital images can be easily forged by image editing tools intentionally or unintentionally. After forgery, these images are difficult to detect with the naked eye directly, which creates social and legal troubles in feature vectors. Hence, more efficient techniques need to be evolved that can easily detect the alterations in the digital image. Various methods have been proposed to carry out forensic analysis, but not so accurate and more time-consuming. In this paper we have proposed an innovative image forgery detection technique on copy-move and splicing attacks and the image authentication using discrete cosine transform (DCT) and discrete wavelet transform (DWT). The proposed technique detects the forgery regions in the images more accurately. The DCT and DWT techniques are mainly used for reduction in the dimension of the cover image and further partitioning into fixed sized non-overlapping blocks. This method significantly improves the detection of spliced area, the execution time, and accuracy result. Moreover, this technique is robust towards images with rotation, scaling, multiple copy-move forgery attack, splicing, etc. It provides a reliable and efficient solution for detection and ensuring image authenticity.

Keywords: digital image forensic; multi-resolution; counterfeit detection; discrete wavelet transform; DWT.

DOI: 10.1504/IJICS.2024.142690

International Journal of Information and Computer Security, 2024 Vol.25 No.1/2, pp.96 - 115

Received: 22 Jun 2023
Accepted: 13 Nov 2023
Published online: 18 Nov 2024 *

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Title: Image forgery detection on multi-resolution splicing attacks using DCT and DWT

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