Copy-Move forgery is the most common image tampering method to create forged images. The images may be forged to conceal or change the meaning of the photographs. Hence, it becomes important to verify the integrity and authenticity of the images. The copy-move forgery detection can be classified under two heads viz., block based and keypoint based. The block based methods use mostly the similar kind of frameworks but differ in applying feature extraction schemes. The block-based methods are good at detecting the forged regions with high accuracy but is having tremendously high computational complexity. In this paper we review the keypoint approach which is an alternative to block-based approach. The keypoint based copy-move forgery detection schemes involve, detecting and describing the local features of the images by using the algorithms like SIFT and SURF.
展开▼
