caa a22 4500 606205683 CHVBK 20210128101008.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00034-014-9878-2 doi (NATIONALLICENCE)springer-10.1007/s00034-014-9878-2 Ciocoiu Iulian Faculty of Electronics, Telecommunications and Information Technology, "Gheorghe Asachi” Technical University of Iasi, Iasi, Romania aut Foveated Compressed Sensing [Elektronische Daten] [Iulian Ciocoiu] Combining the principles behind Compressed Sensing theory with a wavelet-based implementation of a foveation operator inspired by the human visual system yields significant compression performances on both 1D and 2D signals. The solution provides spatially variable quality of the reconstructed information, enabling better approximation on specific regions of interest. Four distinct algorithms are compared in terms of reconstruction error and compression ratio on a set of ECG records and natural images. Springer Science+Business Media New York, 2014 Compressed sensing nationallicence Foveation nationallicence Mask nationallicence Wavelets nationallicence Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/3(2015-03-01), 1001-1015 0278-081X 34:3<1001 2015 34 34 https://doi.org/10.1007/s00034-014-9878-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-014-9878-2 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Ciocoiu Iulian Faculty of Electronics, Telecommunications and Information Technology, "Gheorghe Asachi” Technical University of Iasi, Iasi, Romania aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/3(2015-03-01), 1001-1015 0278-081X 34:3<1001 2015 34 34