Enhanced Guided Image Filtering for the Processing of the Low-Dose CT Images [基于改进导向滤波算法的低剂量CT图像处理]

作者：Long B.-Y.; Li K.; Lü F.-J.; Lü Z.-W.

来源：Acta Electronica Sinica, 2019, 47(7): 1490-1496.

DOI：10.3969/j.issn.0372-2112.2019.07.012

• Computed tomography
• Contrast enhancement
• Guided image filter
• Low-dose

Guided image filtering is an effective edge-preserving smoothing technique.However, because the regularization parameter and amplification factor of the detail layer are fixed instead of content adaptive, the halo effects near the edges and noise in the background may be incurred, which will degrade the quality of the output images further.In this paper, an improved edge-aware weighting is first proposed to preserve the edges more accurately and reduce the halo effects.Then, the amplification factor of the detail layer is calculated in a gradient-directed way for boosting the details while suppressing the noise.Experimental results on the low-dose CT images with heavy noise and small details show that the proposed method can reduce the halo effects and attenuate the noise while enhancing the contrast efficiently.The visual quality of the output images meets the requirement of the clinical diagnosis.

• 单位
  中国科学院大学; 输配电装备及系统安全与新技术国家重点实验室