The novel technique for the detection and removal of dust patterns from the image in source camera identification

-The source camera identification is the technique to identify all the information related to the camera through which the picture is clicked. The quality of the picture depends upon the camera lens and the color combinations. This issue can be seen in the image forensics. The quality of the image gets reduced when noise get raised on the image. The noise on the image gets raised when dust particles are there on the camera lens. In this work, algorithm is proposed which helps to detect the dust patterns from the image. The proposed algorithm will generate patterns from the detected dust particles and simulation is performed in MATLAB and results show the proposed technique performance well in terms of PSNR and MSE.