Aiming at solving the existing problem that the insufficient utilizati on of image texture correlation causes the eigenvalues of image blocks to be sel ected inflexibly and the concealment is insufficient,a new tamper localization and restoration watermarking algorithm based on texture complexity and Laplacian operator is proposed.The algorithm first divides the image into 3×3blocks,and the texture complexity of each block is calculated respectively,according to tex ture complexity to merge the homogenous blocks to reduce the influence of waterm ark embedding on the image quality.Then the Laplacian convolution of the mother block and the individual blocks is calculated as their eigenvalues,and the pos ition information of the mother block is taken as the eigenvalue of the sub-blo c ks.The new eigenvalue enhances the susceptibility to tampering and reduces the number of feature watermarks to be embedded.Finally,the eigenvalue watermarks of sub-blocks are embedded in the least significant bit of the mother block′ s pixel,and the mother block and the individual block are embedded in the least s ignificant bit of the pixel in its corresponding block.When the watermark image is not tampered,the average PSNR of the watermark image is improved by about 7.83dB compared with the existing method.When it is tampered,the restored imag e quality is improved by about 1.01dB.The experiments illustrate that the prop osed algorithm can enhance the image watermark concealment and improve the quali ty of tampered image recovery.It is suitable for copyright protection and medic al image tamper detection.