TY - GEN
T1 - Compressed Sensing Super Resolution of color images
AU - Saafin, Wael
AU - Vega, Miguel
AU - Molina, Rafael
AU - Katsaggelos, Aggelos K.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/28
Y1 - 2016/11/28
N2 - In this work we estimate Super Resolution (SR) images from a sequence of true color Compressed Sensing (CS) observations. The red, green, blue (RGB) channels are sensed separately using a measurement matrix that can be synthesized practically. The joint optimization problem to estimate the registration parameters, and the High Resolution (HR) image is transformed into a sequence of unconstrained optimization sub-problems using the Alternate Direction Method of Multipliers (ADMM). A new, simple, and accurate, image registration procedure is proposed. The performed experiments show that the proposed method compares favorably to existing color CS reconstruction methods at unity zooming factor (P), obtaining very good performance varying P and the compression factor simultaneously. The algorithm is tested on real and synthetic images.
AB - In this work we estimate Super Resolution (SR) images from a sequence of true color Compressed Sensing (CS) observations. The red, green, blue (RGB) channels are sensed separately using a measurement matrix that can be synthesized practically. The joint optimization problem to estimate the registration parameters, and the High Resolution (HR) image is transformed into a sequence of unconstrained optimization sub-problems using the Alternate Direction Method of Multipliers (ADMM). A new, simple, and accurate, image registration procedure is proposed. The performed experiments show that the proposed method compares favorably to existing color CS reconstruction methods at unity zooming factor (P), obtaining very good performance varying P and the compression factor simultaneously. The algorithm is tested on real and synthetic images.
KW - Color images
KW - Compressed Sensing
KW - Image enhancement
KW - Image reconstruction
KW - Super Resolution
UR - http://www.scopus.com/inward/record.url?scp=85006056415&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006056415&partnerID=8YFLogxK
U2 - 10.1109/EUSIPCO.2016.7760511
DO - 10.1109/EUSIPCO.2016.7760511
M3 - Conference contribution
AN - SCOPUS:85006056415
T3 - European Signal Processing Conference
SP - 1563
EP - 1567
BT - 2016 24th European Signal Processing Conference, EUSIPCO 2016
PB - European Signal Processing Conference, EUSIPCO
T2 - 24th European Signal Processing Conference, EUSIPCO 2016
Y2 - 28 August 2016 through 2 September 2016
ER -