翻译成英文：深度图像是计算机视觉和机器人领域中的重要数据类型可以提供三维场景的距离信息。由于传感器的限制或场景的复杂性原始深度图像常常出现缺失深度信息的问题。本文提出了一种新的信息熵引导的深度修复策略该策略可以有效地修补原始深度图像中缺失的深度信息

Depth image is an important data type in the fields of computer vision and robotics, which provides distance information of three-dimensional scenes. Due to limitations of sensors or complexity of scenes, missing depth information often occurs in original depth images. This paper proposes a new entropy-guided depth restoration strategy, which can effectively repair missing depth information in original depth images.