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首页> 外文期刊>Journal of visual communication & image representation >Depth and depth-color coding using shape-adaptive wavelets
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Depth and depth-color coding using shape-adaptive wavelets

机译：使用形状自适应小波的深度和深度颜色编码

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摘要

We present a novel depth and depth-color codec aimed at free-viewpoint 3D-TV. The proposed codec uses a shape-adaptive wavelet transform and an explicit encoding of the locations of major depth edges. Unlike the standard wavelet transform, the shape-adaptive transform generates small wavelet coefficients along depth edges, which greatly reduces the bits required to represent the data. The wavelet transform is implemented by shape-adaptive lifting, which enables fast computations and perfect reconstruction. We derive a simple extension of typical boundary extrapolation methods for lifting schemes to obtain as many vanishing moments near boundaries as away from them. We also develop a novel rate-constrained edge detection algorithm, which integrates the idea of significance bitplanes into the Canny edge detector. Together with a simple chain code, it provides an efficient way to extract and encode edges. Experimental results on synthetic and real data confirm the effectiveness of the proposed codec, with PSNR gains of more than 5 dB for depth images and significantly better visual quality for synthesized novel view images.
机译：我们提出了一种针对自由视点3D电视的新颖深度和深度颜色编解码器。提出的编解码器使用形状自适应小波变换和主要深度边缘位置的显式编码。与标准小波变换不同，形状自适应变换沿深度边缘生成小的小波系数，这大大减少了表示数据所需的位。小波变换通过形状自适应提升实现，从而实现快速计算和完美的重构。我们推导了用于提升方案的典型边界外推方法的简单扩展，以获得与边界附近尽可能多的消失矩。我们还开发了一种新颖的速率受限边缘检测算法，该算法将有效位平面的思想集成到Canny边缘检测器中。与简单的链式代码一起，它提供了一种提取和编码边缘的有效方法。合成和真实数据的实验结果证实了所提编解码器的有效性，深度图像的PSNR增益超过5 dB，合成的新颖视图图像的视觉质量明显更好。

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