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Compression and rendering of space environment volume data based on improved HVQ algorithm
Alternative Title20203909220570
Bao, L.L.1,2; Cai, Y.X.1,2; Cui, Y.M.1,2; Liu, S.Q.1,2,3; Shi, L.Q.1,2,3
Source PublicationJournal of Physics: Conference Series
2020
Volume1627
Issue1
Pages012025
DOI10.1088/1742-6596/1627/1/012025
Language英语
ISSN17426588
AbstractWe propose an improved HVQ approach by combining two detail levels to compress space environment volumes, based on the variation characteristics including smooth variation and significantly positive correlation between variations in the same direction at two different scales. First, the space environment data is divided into 43 blocks. Then blocks are decomposed into a two-level hierarchical representation and each block is represented by a mean value and a detail vector. Finally, the detail vectors are encoded by a vector quantizer. During the vector quantization process, PCA-split is applied to compute an initial codebook, and then LBG-algorithm is conducted for codebook refinement and quantization. We take advantage of the codebook-retraining method to speed up the quantization of time series with temporal coherence. Furthermore, we employ the progressive rendering based on GPU for realtime interactive visualization. The results of our experiments prove that the algorithm proposed in this paper can significantly improve the compression rate and decoding speed without sacrificing fidelity in space environment domain. © Published under licence by IOP Publishing Ltd.
KeywordCompression rates Hierarchical representation Interactive visualizations Positive correlations Progressive rendering Temporal coherence Variation characteristics Vector quantizers
Conference Name4th International Conference on Computer Graphics and Digital Image Processing, CGDIP 2020
Conference DateJuly 24, 2020 - July 26, 2020
Conference PlaceKunming, Virtual, China
Indexed ByEI
Citation statistics
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7747
Collection中国科学院国家空间科学中心
Affiliation1.National Space Science Center, Chinese Academy of Sciences, Beijing; 100190, China;
2.Key Laboratory of Science and Technology on Environmental Space Situation Awareness, Cas, Beijing; 100190, China;
3.University of Chinese Academy of Sciences, Beijing; 100049, China
Recommended Citation
GB/T 7714
Bao, L.L.,Cai, Y.X.,Cui, Y.M.,et al. Compression and rendering of space environment volume data based on improved HVQ algorithm[C],2020:012025.
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