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Image reconstruction technology based on hybrid image-cut and gradient algorithm

Han Li, Wang Jie


Due to the inhomogeneous distribution of light-source and the noise jamming, the traditional image reconstruction algorithm has a poor reconstruction performance. Therefore, an improved algorithm based on hybrid image-cut algorithm and gradient algorithm is proposed to solve the problem. Firstly, the image-cut algorithm is adopted to obtain the light-source situation without prior knowledge. Then, according to the reconstruction state, the different gradient algorithms are used to get an accurate distribution of light-source. Finally, the multilevel network of the internal light-sources is adopted to improve the computation speed and the reconstruction accuracy. The simulation experiment results have demonstrated that even if the detection noise and model structure errors are introduced, the proposed algorithm can still have a high performance and a good practical application value.


Image segmentation; Gradient algorithm; Model structure errors

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