Aiming at the problems of a long time and poor repair effect of the current surface image information restoration of automotive strip steel，a method for repairing automotive strip surface image information based on sparse representation is proposed. According to the spatial correlation information existing between the pixel points in the automotive strip surface image，combined with the gray distribution information of the pixel points，the two-dimensional histogram is used to establish the dispersion measure matrix，and the target area and background area needed to be repaired in the surface image of the automotive strip steel are obtained. The sparse repair model is constructed based on the sparse representation principle，and the damaged area is repaired in the target area and background area of the automotive strip surface image，which can effectively obtain the image information of the automotive strip surface defect and realize the automotive strip repair of surface image information. The experimental results show that the proposed method has a high peak signal-to-noise ratio and small root mean square error for the image information restoration of the automotive strip steel surface，indicating that the method has a better information restoration effect，the restoration time is shorter，and the restoration efficiency is higher.