Endoscopic image enhancement with noise suppression.
Endoscopic image enhancement with noise suppression.
复制标题
内窥镜图像增强，并抑制噪声。
DOI：
10.1049/htl.2018.5067
复制
发表时间：
2018-10
影响因子：
2.1
通讯作者：
Peters T
中科院分区：
文献类型：
--
作者：
Xia W;Chen ECS;Peters T
立体内窥镜已越来越多地用于微创手术中，以可视化器官表面并操纵各种手术工具。然而，光源不足和不规则成为内窥镜手术的主要挑战。这些条件不仅阻碍了图像处理算法，有时手术工具在低光区域操作时几乎不可见。此外，低光区域由于量化误差而具有低信噪比和度量伪像。因此，现有的图像增强方法在弱光区域通常会受到严重的噪声放大。在这封信中，作者提出了一种有效的方法，通过识别不同的照明区域，并设计所需的图像质量的增强设计标准，内窥镜图像增强。与现有的图像增强方法相比，该方法能够在图像增强过程中增强弱光区域，同时防止噪声放大。所提出的方法进行了测试，与200图像内窥镜手术获得。实验结果表明，该算法在自然度、图像质量评价指标和光照指数等方面均优于现有的图像增强算法。
Stereoscopic endoscopes have been used increasingly in minimally invasive surgery to visualise the organ surface and manipulate various surgical tools. However, insufficient and irregular light sources become major challenges for endoscopic surgery. Not only do these conditions hinder image processing algorithms, sometimes surgical tools are barely visible when operating within low-light regions. In addition, low-light regions have low signal-to-noise ratio and metrication artefacts due to quantisation errors. As a result, present image enhancement methods usually suffer from heavy noise amplification in low-light regions. In this Letter, the authors propose an effective method for endoscopic image enhancement by identifying different illumination regions and designing the enhancement design criteria for desired image quality. Compared with existing image enhancement methods, the proposed method is able to enhance the low-light region while preventing noise amplification during image enhancement process. The proposed method is tested with 200 images acquired by endoscopic surgeries. Computed results show that the proposed algorithm can outperform state-of-the-art algorithms for image enhancement, in terms of naturalness image quality evaluator and illumination index.