IEEE Trans Image Process. 2017 May;26(5):2116-2126. doi: 10.1109/TIP.2017.2671781. Epub 2017 Feb 20.
A real-time image filtering technique is proposed which could result in faster implementation for fingerprint image enhancement. One major hurdle associated with fingerprint filtering techniques is the expensive nature of their hardware implementations. To circumvent this, a modified anisotropic Gaussian filter is efficiently adopted in hardware by decomposing the filter into two orthogonal Gaussians and an oriented line Gaussian. An architecture is developed for dynamically controlling the orientation of the line Gaussian filter. To further improve the performance of the filter, the input image is homogenized by a local image normalization. In the proposed structure, for a middle-range reconfigurable FPGA, both parallel compute-intensive and real-time demands were achieved. We manage to efficiently speed up the image-processing time and improve the resource utilization of the FPGA. Test results show an improved speed for its hardware architecture while maintaining reasonable enhancement benchmarks.
提出了一种实时图像滤波技术，可加快指纹图像增强的实现速度。与指纹滤波技术相关的一个主要障碍是其硬件实现的昂贵性质。为了规避这一点，通过将滤波器分解为两个正交的高斯滤波器和一个定向线高斯滤波器，在硬件中有效地采用了改进的各向异性高斯滤波器。开发了一种架构来动态控制线高斯滤波器的方向。为了进一步提高滤波器的性能，通过局部图像归一化对输入图像进行均匀化。在提出的结构中，对于中等范围的可重构 FPGA，同时实现了并行计算密集型和实时需求。我们成功地提高了图像处理时间的速度，并提高了 FPGA 的资源利用率。测试结果表明，其硬件架构的速度得到了提高，同时保持了合理的增强基准。
