Image blind detection method based on secondary seam clipping features

The invention provides an image blind detection method based on secondary seam clipping features and belongs to the field of blind image forensics image processing. The method includes: (1) conducting additional seam clipping operation on an image to obtain an additional seam clipping image; (2) conducting feature extraction which includes calculating the similarity feature, the energy ratio feature and the stitch distance difference feature between the image and the corresponding additional seam clipping image; (3) detecting seam clipping through a training support vector machine by utilizing the similarity feature, the energy ratio feature and the stitch distance difference feature which are extracted. The method is low in feature dimension, has lower calculation complexity and meanwhile has higher detection rate.