Aiming at the research of image copying and tampering detection and tampering area localization, a tamper image detection algorithm for low frequency fast Tchebichef moment is proposed. Firstly, the image is decomposed by non-sampling wavelet transform, and the low-frequency part of the image is selected for overlapping segmentation. The improved low frequency fast Tchebichef moment is extracted as the feature vector. Then the PatchMatch algorithm is used to match the extracted block features. Finally, the dense linear fitting algorithm is used to remove the mismatch and the morphological operation is used to complete the final tamper region localization. Compared with the existing tampering image detection algorithm, the proposed algorithm has better positioning effect for single-region tampering, multiple tampering and multi-region tampering, and reduces the running time of the algorithm, and improves the real-time performance.