Title :
Scalable compressive video
Author :
Stankovic, Vladimir ; Stankovic, Lina ; Cheng, Samuel
Author_Institution :
Dept. Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
Abstract :
The paper presents a scalable compressive sampling (CS) scheme for video acquisition. The proposed solution enables progressive reconstruction of video frames with novel measurement matrices. Simulation results show significant performance improvements over the traditional CS technique for the base layer and slightly better performance for the final enhancement layer.
Keywords :
image enhancement; image reconstruction; image sampling; matrix algebra; video coding; enhancement layer; measurement matrices; performance improvements; scalable compressive sampling scheme; scalable compressive video; video acquisition; video frame reconstruction; Discrete cosine transforms; Image coding; Image reconstruction; Imaging; Systematics; Vectors; compressive imaging; compressive sampling; scalable coding;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6116710
