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Cost-efficient hardware implementation of stereo image depth optimization system

机译:立体图像深度优化系统的经济高效硬件实现

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This paper focuses on the visual fatigue issue while viewing 3D contents. The issue is caused by the distance between the screen and the fused images. A stereo image depth optimization system with disparity map calculation, viewpoint optimization and stereo image synthesis is proposed to solve the issue with the following procedure: first, its disparity map calculation adopts the modified binary window block matching algorithm so that the complex and iterative computations can be accelerated by hardware implementation strategies including parallel color difference calculation, parallel memory banks, window shift, and pipelined architecture; second, the viewpoint optimization modifies disparities to the zone of comfort; third, stereo images are synthesized through Depth-Image-Based-Rendering (DIBR); finally, the stereo image depth optimization system is realized on the FPGA board and video files are shown via the HDMI interface. This hardware implementation turns out to be more cost-efficient to achieve high-speed performance when compared with previous works.
机译:本文重点关注视觉疲劳问题,同时查看3D内容。问题是由屏幕与融合图像之间的距离引起的。具有差异映射计算的立体图像深度优化系统,提出了通过以下步骤解决问题的视点优化和立体图像合成:首先,其视差地图计算采用修改的二进制窗口匹配算法,使得复杂和迭代计算可以通过硬件实现策略加速,包括并行色差计算,并行存储库,窗口换档和流水线架构;其次,观点优化改变了舒适区的差异;第三,通过基于深度图像渲染(DIBR)合成立体图像;最后,在FPGA板上实现了立体图像深度优化系统,通过HDMI接口显示了视频文件。与以前的作品相比,此硬件实现变得更具成本效益,以实现高速性能。

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