Abstract
The use of digital images has become quite widespread in legal, medical, and private contexts. However, anyone can easily edit or manipulate any digital image on a computer. Thus, an effective method for detecting digital image manipulation is required for retaining authenticity. Image-manipulation detection is applied in investigations of crimes and photographic evidence. In this paper, we describe a method for detecting morphological pattern spectrum-based human-like image manipulation. All conventional techniques, such as metadata and electronic watermarking, cannot consider the same results between an original and rotated original image the same as a human. However, our method can judge whether an original image and rotated original image are the same. In other words, our method judge an image in the same way as the human eye. We determined that this method could detect a manipulated image. And this method can be used for digital image forensics.
