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An efficient hardware accelerated design for image denoising using Extended Trilateral filter

机译:使用扩展三边形滤波器进行图像去噪的高效硬件加速设计

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Trilateral filtering presents an edge preserving smoothing filter. The predecessor of Trilateral filtering, the bilateral filter is a non-linear filtering technique that can reduce noise from an image while preserving the strong and sharp edges, but it cannot provide desired result when the edges have valley or ridge like features. The Trilateral filter is extended to be a gradient-preserving filter, including the local image gradient (signal plane) into the filtering process. This filter has the added benefit that it requires only one user-set parameter (neighborhood size used for bilateral gradient smoothing), and the rest are self-tuning to the image. In this paper, we introduce an extended version of Trilateral filtering where domain and range filtering are applied on the image separately followed by applying the original Trilateral filter on the image that is produced by combination of domain and range filtered outputs. This extended approach gives better noise reduction than the original Trilateral approach and improves the image quality. We also provide an efficient Field Programmable Gate Array (FPGA) based implementation of the proposed Extended Trilateral filter(ETF) on a hardware software co-simulation environment to validate the design.
机译:三边滤波提供了一个保留边缘的平滑滤波器。三边过滤的前身双边过滤器是一种非线性过滤技术,可以在保留强而锐利的边缘的同时减少图像的噪声,但是当边缘具有谷底或山脊状特征时,则无法提供理想的结果。 “三边形”滤波器扩展为保留梯度的滤波器,包括局部图像梯度(信号平面)进入滤波过程。该滤镜还有一个好处,就是它只需要一个用户设置的参数(用于双边梯度平滑的邻域大小),其余参数可以自动调整到图像上。在本文中,我们介绍了三边滤波的扩展版本,其中在图像上分别应用了域滤波和范围滤波,然后在对由域滤波和范围滤波输出组合而成的图像上应用了原始的三边滤波。与原始的“三边”方法相比,此扩展方法可提供更好的降噪效果,并改善了图像质量。我们还在硬件软件协同仿真环境中提供了一种有效的基于现场可编程门阵列(FPGA)的拟议扩展三边形滤波器(ETF)的实现,以验证设计。

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