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For the issues that the image forgery detection in the form of copy-move and splicing, an image forgery detection method based on discrete wavelet transform (DWT) and morphological filtering is proposed. Firstly, the image is converted to grayscale and the LH, HL, and HH subbands are obtained by applying a DWT. Then, the edge of the forgery image area is obtained by the threshold judgment, and the edges are sharpened through morphological filtering. Finally, the SIFT feature of the forged region is extracted and the similar region in the image is searched through the similarity detection. Experimental results show that this method can accurately detect forgery regions and forgery types.