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Wavelet-Based Joint Estimation and Encoding of Depth-Image-Based Representations for Free-Viewpoint Rendering

机译:基于小波的联合估计和基于深度图像的自由视点渲染编码

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We propose a wavelet-based codec for the static depth-image-based representation, which allows viewers to freely choose the viewpoint. The proposed codec jointly estimates and encodes the unknown depth map from multiple views using a novel rate-distortion (RD) optimization scheme. The rate constraint reduces the ambiguity of depth estimation by favoring piecewise-smooth depth maps. The optimization is efficiently solved by a novel dynamic programming along trees of integer wavelet coefficients. The codec encodes the image and the depth map jointly to decrease their redundancy and to provide a RD-optimized bitrate allocation between the two. The codec also offers scalability both in resolution and in quality. Experiments on real data show the effectiveness of the proposed codec.
机译:我们为静态的基于深度图像的表示提出了一种基于小波的编解码器,它使观看者可以自由选择视点。所提出的编解码器使用新颖的速率失真(RD)优化方案从多个视图联合估计和编码未知深度图。速率约束通过支持分段平滑的深度图减少了深度估计的不确定性。通过沿着整数小波系数树的新颖动态规划,有效地解决了优化问题。编解码器对图像和深度图进行联合编码,以减少其冗余并在两者之间提供RD优化的比特率分配。编解码器还提供了分辨率和质量方面的可伸缩性。在真实数据上的实验证明了所提编解码器的有效性。

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