关键词: 边缘羽化, UMS增强, 羽化半径, 拼接图像检测

Abstract: In the image splicing process, feathering edge of the splicing area are different from the natural image edge. And these differences can be used to detect the image splicing region. However, when some edges in the image are similar to the features of feathered edges, the method of directly extracting the features of feathered edges can lead to test result incorrect. If it is possible to expend the difference between the edges of the spliced area and the edges of the natural image, detection of tampered images will become more accurately. Therefore, this paper proposes a new edge detection method about the image of feathered edges based on USM enhancement. Firstly, the difference between feathering edge and natural edge feature in the splicing image is enlarged by using the method of UMS enhancement. Then, the edge pixel feather radius of image is calculated. Finally, the edge pixels with similar radius are found, and the splicing region is located in the image. The experimental results show that the splicing region can be detected more accurately when there are edges similar to the feathering edge in the spliced image.

Key words: edge feather, USM enhancement, feather radius, splicing image detection