Abstract | ||
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This paper explores the use of wavelet transform-based methods for ITS data compression. A methodology for structuring data and applying wavelet transform-based algorithms is proposed. The methodology provides the option of controlling the compression ratio at the cost of an acceptable distortion, visualizing data at different detail levels. With proper database management, this methodology will a... |
Year | DOI | Venue |
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2017 | 10.1109/TITS.2016.2613982 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Image coding,Data compression,Discrete wavelet transforms,Principal component analysis,Correlation | Computer vision,Data compression ratio,Texture compression,Set partitioning in hierarchical trees,Lossy compression,Computer science,Artificial intelligence,Data compression,Image compression,Wavelet transform,Lossless compression | Journal |
Volume | Issue | ISSN |
18 | 7 | 1524-9050 |
Citations | PageRank | References |
1 | 0.35 | 13 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shaurya Agarwal | 1 | 20 | 4.35 |
Emma Regentova | 2 | 89 | 14.19 |
Pushkin Kachroo | 3 | 201 | 31.04 |
himanshu verma | 4 | 14 | 4.33 |