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Fast 3D Image Depth Map Estimation Using Wavelet Analysis

机译:基于小波分析的快速3D图像深度图估计

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摘要

This paper is to propose a method for depth estimation in a 2D image using wavelet analysis. According to our observations, the high frequency components represent focused objects in images of limited depth of field (DOF) and their high frequency wavelet subbands contain high energy. In our approach, each image is first transformed to YUV domain and the Y component is extracted for further analysis. Afterwards, the high frequency bands are derived with wavelet analysis. Through two stages of smoothing and scale manipulation, the depth map data with less error can be used for some 3D display. The experimental result shows that the proposed approach is effective and efficient for depth map estimation.
机译:本文提出一种利用小波分析的二维图像深度估计方法。根据我们的观察,高频分量代表景深有限(DOF)图像中的聚焦对象,并且它们的高频子波子带包含高能量。在我们的方法中,首先将每个图像转换到YUV域,然后提取Y分量以进行进一步分析。然后,通过小波分析推导高频带。通过平滑和缩放操作两个阶段,可以将误差较小的深度图数据用于某些3D显示。实验结果表明,该方法对于深度图估计是有效的。

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  • 来源
    《》|2010年|p.1160-1163|共4页
  • 会议地点 Shanghai(CN)
  • 作者单位

    Dept. of Multimedia Design Chihlee Institute of Technology;

    Dept. of Accounting Information Systems Chihlee Institute of Technology;

    Dept. of Information Management Chihlee Institute of Technology;

    Dept. of Computer Science and Engineering Tatung University;

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  • 入库时间 2022-08-26 14:40:17

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