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Image reconstruction of traffic signs serves to improve the image quality of traffic signs that are blocked by leaves or tree branches so that it can facilitate the process of detecting and recognition traffic signs. Inpainting is one of the image restoration methods to reconstruct images that have been damaged or the removal of unwanted objects where the area to be restored is based on information around the area. Criminisi introduces an inpainting method with an exemplar-based approach that combines the structure-oriented and texture-oriented scheme. While Hung popularized the Criminisi method and combined it with contour construction (bezier curve). The researcher tried to compare the two methods by using a number of images of traffic signs, one of them by using images with a size of 123 x 116 issuing the results of Mean Squared Error (MSE), the criminisi method gets results from MSE 69,70 while the hung method gets results from MSE 68,04 . Based on the reconstruction process of both shows the average hung method is smaller than the MSE results which means the closeness of the reconstruction results with the original image is closer to the hung method than the criminisi method.