Structuring Element-counting Approach for Morphological Pattern Spectrum-based Image Manipulation Detection

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 technique for detecting a manipulated image by morphological pattern spectrum. Before we have researched morphological pattern spectrum detected manipulation. We propose the new technique which counts a number of the same scale as the structuring element scale by morphological pattern spectrum in an image. So it can judge a manipulated image in detail because the new technique can detect the number of a manipulated scale. Thus, even if the previous technique judge a large different in the pattern spectrum between the original image and the manipulated image, the new technique can judge to be actually small manipulation.