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A Depth Image Coder Based on Progressive Silhouettes

机译:基于渐进轮廓的深度图像编码器

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An efficient compression of depth maps proves to be a crucial element in the transmission and storage of 3-D scenes. However, the peculiarities of geometry information make the traditional coding paradigms for natural images less effective for the coding of depth images. The letter presents a novel coding scheme that employs an oversegmentation of the input depth image into a huge set of small regions. These regions are then fused together according to the target number of objects that the algorithm needs to identify in the representation. This procedure is iterated more than once generating several refinement layers that permit obtaining a progressively-increasing quality in the scene. Experimental results show that in most cases the proposed approach reaches a better coding performance with respect to previous coding methods.
机译:深度图的有效压缩被证明是3D场景传输和存储中的关键要素。然而,几何信息的特殊性使得用于自然图像的传统编码范例对于深度图像的编码不太有效。这封信提出了一种新颖的编码方案,该方案采用了将输入深度图像过度分割为大量小区域的方法。然后根据算法需要在表示中识别的目标目标数量将这些区域融合在一起。多次重复此过程,生成几个精化层,从而可以在场景中获得逐渐提高的质量。实验结果表明,在大多数情况下,相对于以前的编码方法,所提出的方法具有更好的编码性能。

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