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Spatial domain complexity reduction method for depth image based rendering using wavelet transform

机译:基于小波变换的深度图像渲染的空间域复杂度降低方法

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Depth Image Based Rendering (DIBR) is an approach to generate a 3-D image by the original 2-D color image with the corresponding 2-D depth map. Although DIBR is a quite convenient technique of converting 2D to 3D images, there is a big problem in DIBR system that it cannot reach real-time processing due to the computing time. Therefore, this paper proposes a method based on discrete wavelet transform and adaptive edge-oriented smoothing process to improve the computing time of the system. The proposed method also preserves the original texture. As a results, this indicate that the proposed method not only preserves the vertical texture but also reduces at least 60% of the computing time of the DIBR system.
机译:基于深度图像的渲染(DIBR)是一种通过原始2D彩色图像与相应的2D深度图生成3D图像的方法。尽管DIBR是将2D转换为3D图像的一种非常方便的技术,但是DIBR系统中存在一个很大的问题,即由于计算时间而无法进行实时处理。因此,本文提出了一种基于离散小波变换和自适应边沿平滑处理的方法,以提高系统的计算时间。所提出的方法还保留了原始纹理。结果,这表明所提出的方法不仅保留了垂直纹理,而且减少了DIBR系统计算时间的至少60%。

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