Image inpainting via weighted optimization
采用加权优化的图像修复

Owning to the visual inconsistency of the greedy synthesis algorithm and neglecting of structure information of other optimization based inpainting, a new image inpainting algorithm using structure and texture optimization was proposed. The image inpainting was formulated as minimization of a weighted energy function, which was optimized using an expectation maximization(EM)-like algorithm. To ensure damaged regions with strong structure and high confidence been given priority to restoration, a greedy approach was used to set initial values and to calculate weight values for the EM algorithm. Compared with greedy synthesis and optimization based image inpainting approaches, the proposed algorithm considers the structure information and achieves better repairing results.