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Compression of 3D Integral Images Using 3D Wavelet Transform

机译:使用3D小波变换压缩3D积分图像

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摘要

Integral imaging is a technique capable of displaying 3D images with continuous parallax in full natural color. It has been reported by many research groups and is becoming a viable alternative for 3D television. With the development of 3D integral imaging, image compression becomes mandatory for the storage and transmission of 3D integral images. In this paper, the use of the lifting scheme in the application of a 3D Wavelet Transform for the compression of 3D Integral Images is proposed. The method requires the extraction of different viewpoint images from an integral image. The 3D wavelet decomposition is computed by applying three separate 1D transforms along the coordinate axes of the given sequence of Viewpoint Images. The spatial wavelet decompositions on a single viewpoint and on the inter-viewpoint images are performed using the biorthogonal Cohen–Debauchies–Feauveau 9/7 and 5/3 filter banks, respectively. All the resulting wavelet coefficients from application of the 3D wavelet decomposition are arithmetic encoded.
机译:整体成像是一种能够以全自然色显示具有连续视差的3D图像的技术。许多研究小组已经报道了它,并且正在成为3D电视的可行替代方案。随着3D积分成像的发展,对于3D积分图像的存储和传输,图像压缩变得必不可少。在本文中,提出了提升方案在3D小波变换用于3D积分图像压缩中的应用。该方法需要从积分图像中提取不同的视点图像。通过沿给定视点图像序列的坐标轴应用三个单独的1D变换来计算3D小波分解。使用双正交Cohen-Debauchies-Feauveau 9/7和5/3滤波器组分别对单个视点和视点间图像进行空间小波分解。应用3D小波分解得到的所有结果小波系数都经过算术编码。

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