In order to avoid the influence caused by image texture in priority computabion of Criminisi image inpainting algorithm,we propose an improved priority function based on im age structure component in this paper.Firstly,the damaged image is decomposed into the structu re component and the texture component by a variational decomposition model.And then,we compute the data term based on structure component,which can avoid the influence caused by image texture in data term computabion.Moreover,the information entropy is introduced in the prio rity function to measure the complexity of the image block.In this way,not only the isophote cr oss the central point, but also the structure information at other positions are taken into account in priority computation, which further emphasizes the structure information in image inpainting.At last, the priority function is defined as a weighted sum of the confidence term,the data term and the infor mation entropy, which solves the drawback of the chaotic inpainting caused by the rapid decrease of pr iority to zero with the confidence.The new priority function avoids the influenc e of image texture,and combines more structure information.The experimental results on both noisy synthetic and real images demonstrate the effectiveness of the proposed algorithm.