Because the Criminisi algorithm could not distinguish the edge texture sufficiently or identify the features about the straight line and the curve of local area,besides the distortion of the image inpainting was brought out due to the improper matching patch by color,a piecewise adaptive image inpainting algorithm combining the local feature and the edge texture was proposed.Firstly,in order to overcome the unreasonable inpainting sequence of the damaged edge,the edge resolution factor and the feature judgment factor were introduced into the priority functio n to enhance the inpainting ability of distinguishing the edge and the features about the straigh t line and the curve of the local area.Secondly,the feature term was introduced to improve the matching accu racy of the sample patch in the patch matching criterion.Then the piecewise adaptive algorithm was adopted to update the confidence term to solve the problem of the rapid reduction of the confidence te rm.Finally,the subjective evaluation system and the objective evaluation system were applied to the image inpainting quality evaluation.The evaluation results show that the inpainting quality of th e proposed algorithm is better than that of other algorithms.Not only the signal-to-noise ratio and the peak signal-to-noise ratio are increased resp ectively by 0~3.8,but also the optimization degree of the structural similarity is increased by 0~0.7% .The experimental results indicate that the proposed algorithm could inpaint damaged image effectively an d obtain better image visual effect.