基于改进优先权的Criminisi图像修复算法的研究

为了克服Criminisi算法中优先权计算不准确的弊端,以及样本块固化尺寸的问题,本文提出了基于改进优先权的Criminisi图像修复算法的研究。在优先级函数计算时,通过对数据项、置信度项和邻域相关性项的加权和进行计算,以实现对Criminisi算法优先权的优化,以有效提升计算函数的连续性,以此来保障所修复图像结构的连续性。采用样本块大小可变的方法,以此来增强局部协调性和边界的平滑性。以有效提升Criminisi图像修复算法对图像不同平滑度的适应性,以提高算法的修复性能。实验结果显示,所提算法修复的图像具有良好的视觉效果。

RESEARCH OF IMAGE INPAINTING ALGORITHM BASED ON IMPROVED PRIORITY CRIMINISI METHOD

Aiming at overcoming the shortcomings of inaccurate priority calculation in Criminisi algorithm and the problem of sample block solidification size, this paper proposes an improved priority-based Criminisi image restoration algorithm. In the calculation of priority function, the weighted sum of data item, confidence item and neighborhood correlation item is calculated to optimize the priority of Crinisi algorithm, and the continuity of calculation function is effectively enhanced to ensure the continuity of the repaired image structure. Variable block size is used to enhance local coordination and boundary smoothness, improve the adaptability of Criminisi image restoration algorithm to different smoothness of the image, and ameliorate the restoration performance of the algorithm. Experimental results show that the proposed algorithm has good visual effects.