This paper presents, for the first time, an image enhancement methodology
designed to enhance the clarity of small intestinal villi in Wireless Capsule
Endoscopy (WCE) images. This method first separates the low-frequency and
high-frequency components of small intestinal villi images using guided
filtering. Subsequently, an adaptive light gain factor is generated based on
the low-frequency component, and an adaptive gradient gain factor is derived
from the convolution results of the Laplacian operator in different regions of
small intestinal villi images. The obtained light gain factor and gradient gain
factor are then combined to enhance the high-frequency components. Finally, the
enhanced high-frequency component is fused with the original image to achieve
adaptive sharpening of the edges of WCE small intestinal villi images. The
experiments affirm that, compared to established WCE image enhancement methods,
our approach not only accentuates the edge details of WCE small intestine villi
images but also skillfully suppresses noise amplification, thereby preventing
the occurrence of edge overshooting.

本文首次提出了一种图像增强方法，旨在增强无线胶囊内镜图像中小肠绒毛的清晰度。该方法首先使用引导滤波对小肠绒毛图像进行低频和高频部分的分离。随后，根据低频部分生成自适应光增益因子，并从不同区域的小肠绒毛图像的 Laplacian 算子的卷积结果中得到自适应梯度增益因子。然后，将得到的光增益因子和梯度增益因子结合，增强高频部分。最后，将增强的高频部分与原始图像融合，实现对 WCE 小肠绒毛图像边缘的自适应锐化。实验证明，与已建立的 WCE 图像增强方法相比，我们的方法不仅突出了 WCE 小肠绒毛图像的边缘细节，而且巧妙地抑制了噪声放大，从而防止了边缘过冲的发生。