As an excellent local filter, guided image filters are subject to halo artifacts. In this paper, the algorithm uses gradient information to accurately determine the edge of the image, and uses the weighted information to further accurately distinguish the flat area and edge area of the image. As a result, the edges of the image are sharper and the level of blur in flat areas is reduced, avoiding halo artifacts caused by excessive blurring near edges. Experiments show that the proposed algorithm can better suppress halo artifacts at the edges. The proposed algorithm has good performance in both image denoising and image detail enhancement.

翻译：作为极好的本地过滤器, 制导图像过滤器会受到光环工艺品的影响。 在本文中, 算法使用梯度信息来准确确定图像的边缘, 并使用加权信息来进一步准确地区分图像的平面和边缘。 因此, 图像的边缘更加清晰, 平面的模糊度也降低了, 避免了在近边缘过度模糊导致的光环工艺品。 实验显示, 拟议的算法可以更好地抑制边缘的光环工艺品。 拟议的算法在图像除色和图像详细度的增强方面都表现良好 。