A BLIND IMAGE INPAINTING MODEL INTEGRATED WITH RATIONAL FRACTAL INTERPOLATION INFORMATION

Aiming to solve the problem of blind image inpainting, this study proposed a blind image inpainting model integrated with rational fractal interpolation information. First, wavelet decomposition and closed operations were adopted to obtain masks and transform blind inpainting into non-blind inpainting. Then, on the basis of similar structural groups, rational fractal interpolation functions were introduced to complete the restoration. On the one hand, this model can sufficiently express the texture features of the image with high fidelity. On the other hand, it can better represent the structural features of the image, avoid serrated edges, enhance the restoration effect, and approximate the original image. The experimental results show that the restoration effect of this model can reserve texture details and ensure edges without distortion, possessing great practical application value.

Automated summary

This study proposes a model for blind image inpainting, which integrates rational fractal interpolation information for image restoration. The model accurately expresses the texture and structural features of the image, while avoiding serrated edges and achieving restoration close to the original image.