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Application Research on Adaptive Interpolation Algorithm in Image Restoration |
MA Min1, ZHAO Liang1, WANG Hua-xiang2 |
1.Civil Aviation University of China, Tianjin 300300, China;
2.Tianjin University, Tianjin 300072, China |
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Abstract Since the BSCB model has an inherent slow rate, and the total variation model is subject to staircase effect, to overcome these disadvantages, an adaptive interpolation algorithm is proposed based on the diffusivity function. The proposed algorithm repairs the unknown pixels by using the gradient weight function and distance weight function of the neighboring pixels whose values are known. Experimental results show that compared to the traditional methods, the proposed algorithm can obtain relatively higher image quality in a shorter time for both gray and color image restoration, additionally, the quantitative evaluation indicator has also verified the effectiveness of the proposed method.
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