A BLIND IMAGE INPAINTING MODEL INTEGRATED WITH RATIONAL FRACTAL INTERPOLATION INFORMATION

Zun Li, Aimin Chen, Xiaomeng Shen and Tongjun Miao
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Zun Li: College of 3D Printing, Xinxiang University, Xinxiang 453003, Henan, P. R. China
Aimin Chen: ��College of Chemistry and Chemical Engineering, Xinxiang University, Xinxiang 453003, Henan, P. R. China
Xiaomeng Shen: ��College of Physics and Electronic Engineering, Xinxiang University, Xinxiang 453003, Henan, P. R. China
Tongjun Miao: ��College of Physics and Electronic Engineering, Xinxiang University, Xinxiang 453003, Henan, P. R. China

FRACTALS (fractals), 2023, vol. 31, issue 09, 1-14

Abstract: 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.

Keywords: Blind Image Inpainting; Similar Structural Groups; Rational Fractal Interpolation (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0218348X23501293

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