Abstract
In the last few years, the world has witnessed a ground-breaking growth in the use of digital images and their applications in the modern society. In addition, image editing applications have downplayed the modification of digital photos and this compromises the authenticity and veracity of a digital image. These applications allow for tampering the content of the image without leaving visible traces. In addition to this, the easiness of distributing information through the Internet has caused society to accept everything it sees as true without questioning its integrity. This paper proposes a digital image authentication technique that combines the analysis of local texture patterns with the discrete wavelet transform and the discrete cosine transform to extract features from each of the blocks of an image. Subsequently, it uses a vector support machine to create a model that allows verification of the authenticity of the image. Experiments were performed with falsified images from public databases widely used in the literature that demonstrate the efficiency of the proposed method.
Highlights
In recent years, the use of mobile devices has increased considerably, becoming a tool that is part of the daily life of today’s society
The splice detection method proposed in [10] by Shi et al models the manipulation changes using statistical characteristics extracted from 2D matrices generated by applying multi-size block discrete cosine transform (MBDCT)
In [19], Alahmadi et al proposed a novel passive splicing image forgery detection scheme based on Local Binary Pattern (LBP) and Discrete Cosine Transform (DCT)
Summary
The use of mobile devices has increased considerably, becoming a tool that is part of the daily life of today’s society. The continuous improvement of the cameras incorporated in mobile devices together with the evolution of the image editing tools have made it easier to manipulate an image with excellent results. To deal with this massive traffic of possible manipulated images, the forensic analysis area investigates new manipulation detection techniques to evaluate the integrity of an image. Detect manipulated digital images are of great importance in many areas and with different objectives As it is the case in the legal sector, where the images or videos can suppose evidence of great value for the resolution of the lawsuit.
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