INTRODUCTION
A field of detecting digital forgery of digital images taken by a digital camera is one of a new research topic in the area of a digital photography. Recently, digital images or moving pictures can easily be created by image editors. Software tools used generally to image editors are Adobe Photoshop, illustrator, Vegas, and Avid and so on. Digital forgeries are nowadays given prominence to a social problem to happen personal affairs. It is therefore very most important to detect the forgery images used to each filters of Adobe Photoshop.
Our contribution of the developed system is to detect the forgery images in order to protect each person from images used to each filters of Adobe Photoshop.A few works have been published in the domain of digital forgery. A.C Popescu and H. Farid proposed themethods to quantify and detect statistical perturbations found in different types of forgery images.
The first proposed method is to detect re-sampled images, the second is to detect color filter array interpolated images, and the third is to detect duplicated image regions .Unfortunately, these techniques is to detect only the forgery images of the first interpolation and cannot be applied to each filters of Adobe Photoshop.A.C Popescu and H. Farid also describe a technology to detect the forgery images exploiting a lighting correlation of the highlights and shadows from the photographic image.The method should be however not very accurate because of using only the region of the highlight built up by the image in order to estimate the lighting direction and be constrained to only the object of a sphere from the digital image. J.B Lee et al proposed a method for digital forensic using a technique to detect a lighting direction.
The method can however detect only the forgery images of a straight illumination. If the images of diverse direction illumination is used to the tampered images, it is difficult to detect the forgery images. Our approach is that the proposed algorithm is used to the interpolation technique and can detect the forgery images to process the filters of Adobe Photoshop from the digital image taken by the photographic image. This project proposes a new method for detecting digital forgery using an interpolation technique. We present experimental results demonstrate detecting the forgery images used to each filters for a tool of Adobe Photoshop and show a ratio of detecting forgery.
A field of detecting digital forgery of digital images taken by a digital camera is one of a new research topic in the area of a digital photography. Recently, digital images or moving pictures can easily be created by image editors. Software tools used generally to image editors are Adobe Photoshop, illustrator, Vegas, and Avid and so on. Digital forgeries are nowadays given prominence to a social problem to happen personal affairs. It is therefore very most important to detect the forgery images used to each filters of Adobe Photoshop.
Our contribution of the developed system is to detect the forgery images in order to protect each person from images used to each filters of Adobe Photoshop.A few works have been published in the domain of digital forgery. A.C Popescu and H. Farid proposed themethods to quantify and detect statistical perturbations found in different types of forgery images.
The first proposed method is to detect re-sampled images, the second is to detect color filter array interpolated images, and the third is to detect duplicated image regions .Unfortunately, these techniques is to detect only the forgery images of the first interpolation and cannot be applied to each filters of Adobe Photoshop.A.C Popescu and H. Farid also describe a technology to detect the forgery images exploiting a lighting correlation of the highlights and shadows from the photographic image.The method should be however not very accurate because of using only the region of the highlight built up by the image in order to estimate the lighting direction and be constrained to only the object of a sphere from the digital image. J.B Lee et al proposed a method for digital forensic using a technique to detect a lighting direction.
The method can however detect only the forgery images of a straight illumination. If the images of diverse direction illumination is used to the tampered images, it is difficult to detect the forgery images. Our approach is that the proposed algorithm is used to the interpolation technique and can detect the forgery images to process the filters of Adobe Photoshop from the digital image taken by the photographic image. This project proposes a new method for detecting digital forgery using an interpolation technique. We present experimental results demonstrate detecting the forgery images used to each filters for a tool of Adobe Photoshop and show a ratio of detecting forgery.
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