IEEE J Biomed Health Inform. 2019 Jan;23(1):264-272. doi: 10.1109/JBHI.2018.2791624. Epub 2018 Jan 10.
We propose a fast and accurate solution to speckle reduction targeted specifically at optical coherence tomography images. The proposed speckle removing filter is designed using a novel potential function based on the gradient of the local variance of intensity. After filtering, the spatially neighboring pixels with close values of intensities converge to uniform gray values, while the edges remain intact. This filtering process results in removal of speckle without destroying the edges of the desired object. The proposed filter also prevents the generation of any false edges. Detailed experimental analysis shows at least 1-dB improvement in the peak signal-to-noise ratio for spectral domain optical coherence tomography images. The method also shows superior edge preservation, contrast, and speed compared to the state of the art in speckle removing filters.
我们提出了一种快速而准确的解决方案，专门针对光学相干断层扫描图像的散斑减少。所提出的散斑去除滤波器是使用基于强度局部方差梯度的新势函数设计的。滤波后，强度值接近的空间相邻像素会收敛到均匀的灰度值，而边缘保持不变。这种滤波过程可以在不破坏目标边缘的情况下去除散斑。所提出的滤波器还可以防止产生任何虚假边缘。详细的实验分析表明，对于光谱域光学相干断层扫描图像，峰值信噪比至少提高了 1dB。与散斑去除滤波器的现有技术相比，该方法还具有更好的边缘保持、对比度和速度。
