激光与光电子学进展, 2018, 55 (12): 121012, 网络出版: 2019-08-01   

基于改进Criminisi算法的航拍图像厚云修复 下载: 1291次

Thick Cloud Restoration of Aerial Images Based on Improved Criminisi Algorithm
作者单位
中国人民解放军陆军炮兵防空兵学院, 安徽 合肥 230031
摘要
针对航拍图像中存在的厚云遮挡问题,提出了一种基于改进Criminisi算法的图像修复去厚云算法。通过改进优先权函数确定了最优待修补块,完善了最优匹配块搜索策略,减少了结构传播错误和累积错误,增大了匹配的准确度;根据像素点的亮度局部方差选择了适合的样本块尺寸,并定义了新的置信度更新函数。通过逐步细化的云检测方法和形态学开运算获得厚云区域掩模。模拟数据和真实数据实验结果表明,所提算法相比于传统Criminisi算法,补全效果更自然,能更好地修复航拍图像中的厚云区域。
Abstract
In order to remove the thick cloud of aerial images, an improved image restoration algorithm based on improved Criminisi algorithm is proposed. The optimal inpainted block is selected by improving the priority function, and the searching strategy of the best matching block is optimized. In this way, the structural propagation error and cumulative error are reduced, and the matching accuracy is improved. Then the suitable size of the sample block is selected according to the local variance of the brightness of the pixels. A new confidence updating function is defined. The thick cloud area mask can be obtained through gradually refined cloud detection method and morphological closed operation. The experimental results of simulated data and real data show that compared with the traditional Criminisi algorithm, the completion effect of proposed method is more natural, and the thick cloud area in aerial images can be better repaired.

张思雨, 李从利. 基于改进Criminisi算法的航拍图像厚云修复[J]. 激光与光电子学进展, 2018, 55(12): 121012. Siyu Zhang, Congli Li. Thick Cloud Restoration of Aerial Images Based on Improved Criminisi Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121012.

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