Digital Image Forgery Forensics by Using Blur Estimation and Abnormal Hue Detection

A digital image forgery forensics scheme by using blur estimation and abnormal hue is proposed in this paper. For blur operation is a commonly used means to retouch in image forgery, detection of artificial blur is essential to the forensics of image forgery. Moreover, the blur operation also destroys the joint consistency of color channels in the image. Based on this principles, blur estimation is done to the image and obtain the blur region, and exactly locate the artificial blur region by detect the abnormal hue in the blur region. Experimental results and analysis show that the proposed method has a good performance in detecting the artificial blur, and can accurately locate the blur region in image forgery.