IEEE Trans Image Process. 2018 Jan;27(1):442-450. doi: 10.1109/TIP.2017.2750418. Epub 2017 Sep 8.
Local edge-preserving smoothing techniques such as guided image filtering (GIF) and weighted guided image filtering (WGIF) could not preserve fine structure. In this paper, a new globally guided image filtering (G-GIF) is introduced to overcome the problem. The G-GIF is composed of a global structure transfer filter and a global edge-preserving smoothing filter. The proposed filter is applied to study single image haze removal. Experimental results show that fine structure of the dehazed image is indeed preserved better by the proposed G-GIF and the dehazed images by the proposed G-GIF are sharper than those dehazed images by the existing GIF.
局部边缘保持平滑技术,如导向图像滤波(GIF)和加权导向图像滤波(WGIF),无法保持精细结构。在本文中,引入了一种新的全局导向图像滤波(G-GIF)来克服这个问题。G-GIF 由一个全局结构传递滤波器和一个全局边缘保持平滑滤波器组成。所提出的滤波器应用于研究单幅图像去雾。实验结果表明,所提出的 G-GIF 确实更好地保留了去雾图像的精细结构,并且由所提出的 G-GIF 去雾的图像比由现有 GIF 去雾的图像更清晰。