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Lifted wavelet-based image dataset compression with column random access for image-based virtual environment navigation

机译:基于小波的虚拟环境导航的列随机访问举起基于小波的图像数据集压缩

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A lifted wavelet-based compression scheme with effective image-column random access for coding image datasets is proposed. This image dataset compression scheme is based on the approach of a lifted wavelet transform combined with embedded block entropy coding. This approach is adapted to compressing the image datasets used for image-based virtual environment navigation and facilitating a column random access mechanism. A specific data structure is designed to achieve efficient compression and accommodate column random access. The code stream syntax is constructed to efficiently assemble bit streams corresponding to the designed data structure. The two-level index tables in the code stream are used to assist random access. This image dataset compression scheme features a proper compromise between the coding efficiency and the random access flexibility, and thus ensures fast interactive image rendering. It reduces the decoding delay, simplifies the implementation of a random access mechanism and easily facilitates real-time image decoding. Experimental results of the software implementation of this image dataset compression scheme show its superior coding performance over the standard JPEG and JPEG 2000 schemes.
机译:提出了一种利用用于编码图像数据集的有效图像列随机接入的基于升降的小波的压缩方案。该图像数据集压缩方案基于提升小波变换的方法与嵌入式块熵编码相结合。这种方法适于压缩用于基于图像的虚拟环境导航的图像数据集,并促进列随机接入机制。特定数据结构旨在实现有效的压缩和容纳柱随机接入。代码流语法被构造成有效地组装与所设计的数据结构相对应的比特流。代码流中的两个级别索引表用于辅助随机访问。此图像数据集压缩方案在编码效率和随机访问灵活性之间具有适当的折衷,从而确保快速交互式图像呈现。它降低了解码延迟,简化了随机接入机制的实现,并且容易促进实时图像解码。该图像数据集压缩方案的软件实现的实验结果显示了标准JPEG和JPEG 2000方案的卓越编码性能。

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