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Digital Images Authentication Technique Based on Multi-Blocks DCT and Singular Value Decomposition

E. I. A. El-Latif,A. Taha,H. Zayed

Published 2023 in Novel Intelligent and Leading Emerging Sciences Conference

ABSTRACT

The use of digital photographs and their uses in contemporary life have undergone a revolutionary change. It is now quite simple to change the content of an image without leaving any noticeable traces due to the widely available image editing software. Manipulated images that are generated by image splicing are visually hard to notice. Several methods have previously been developed to detect image splicing. Existing algorithms have certain intrinsic weaknesses such as large false-positive rates, poor precision, and features with high dimension. This work introduces a method to detect image splicing tampering in digital images. This algorithm is based on applying the Singular Value Decomposition (SVD) as a feature extraction to the coefficients of the Multi-Block Discrete Cosine Transform (MBDCT). In addition, four types of statistical features are computed and then merged in a feature vector. SVM is employed for classification. Two publicly available image datasets are used to assess the proposed technique: CASIA v1.0 and CASIA v2.0. The results of the studies demonstrate how effective the suggested algorithm is in identifying spliced images.

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