Image Splicing Recognition using Lens Radial Distortion Based on Line Calibration

Image splicing may be a common variety of image forgery. This type of changes sometimes doesn’t leave visual clues of pasting. In recent works camera characteristics puts consistency across the image has been accustomed establish the originality and integrity of digital pictures. Such constant camera characteristic properties area unit inherent from camera producing processes and area unit distinctive. The set digital cameras area now a days basically equipped with optical spherical lens and this imposes radial distortions on pictures. This aberration is commonly disturbed and fails to make consistent across the image, once a picture is spliced. This paper describes the detection of copy paste operation on pictures by estimating disturbed radial distortion from different parts of the image line-based standardization. The conducted experiments demonstrate the effectualness of our planned approach for the detection of image splicing on each artificial and real image.