Exemplar-based image inpainting, as proposed by Criminisi et al. (IEEE Trans Image Process 13(9):1200-1212, 2004, fills missing regions by using a similar exemplar. However, when the missing region is a unique texture patch, an incorrect texture is filled in the missing region because a similar exemplar of damaged patch could not be found. A new image inpainting method based on an eight-direction or arbitrary direction symmetrical exemplar is proposed, suitable for damaged images containing local symmetry. The following three steps are the keys of this method. (1) According to certain similarity criteria, the symmetrical exemplars of damaged regions in eight directions or arbitrary directions are found. (2) The most similar symmetrical exemplar is selected from eight-direction or arbitrary-direction symmetrical exemplars. (3) Finally, the damaged region is filled using the most similar symmetrical exemplar. It is shown that the results of image inpainting are good when missing image regions have similar symmetry. Image inpainting is a single, efficient method. In addition, a new evaluation method of image restoration results based on similar exemplars is proposed for the inpainting effect, which is closely related to the repair algorithm. Therefore, the methods can more objectively measure the inpainting effect.
Image restoration results of the assessment are mostly subjective evaluation method. However, It is usually too inconvenient, time-consuming and expensive. For lack of subjective evaluation method, we propose a new evaluation method of image restoration results based on similar exemplars. The similar distance samples between damage patch and the best exemplar in every restoration cycle are obtained. The new method use the mean, variance and histogram of similarity distance samples measure image restoration effect. The evaluation method is closely related to the repair algorithm. It is suitable for restoration algorithm based on exemplars. Experimental results show that the mean and variance of similarity distances while the smaller the better repair effect.
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