Scalable Coding for High-Resolution, High-Compression Ratio Snapshot Compressive Video

High-speed cameras are crucial for capturing fast events beyond human perception, although challenges in terms of storage, bandwidth, and cost hinder their widespread use. As an alternative, snapshot compressive video can overcome these challenges by exploiting the principles of compressed sensing t...

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Vydané v:	IEEE transactions on image processing Ročník 34; s. 3960 - 3970
Hlavní autori:	Guzman, Felipe, Diaz, Nelson, Romero, Bastian, Vera, Esteban
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Apertures Cacti compressed sensing Compression ratio Dispersion High speed cameras High-compressive video high-resolution video Image coding Image reconstruction Inverse problems Kernel Machine learning Multiplexing Reconstruction algorithms Sampling Scalability scalable coded aperture snapshot compressive video Spatial resolution Temporal resolution Time division multiplexing Training Video compression
ISSN:	1057-7149, 1941-0042, 1941-0042
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