Adaptive Dual Conjudate Gradient Projection Algorithm for Compressed Sensing Image Reconstruction
2013 ◽
Vol 347-350
◽
pp. 2600-2604
Keyword(s):
In order to improve the quality of noise signals reconstruction method, an algorithm of adaptive dual gradient projection for sparse reconstruction of compressed sensing theory is proposed. In ADGPSR algorithm, the pursuit direction is updated in two conjudate directions, the better original signals estimated value is computed by conjudate coefficient. Thus the reconstruction quality is improved. Experiment results show that, compared with the GPSR algorithm, the ADGPSR algorithm improves the signals reconstruction accuracy, improves PSNR of reconstruction signals, and exhibits higher robustness under different noise intensities.
2014 ◽
Vol 530-531
◽
pp. 443-446
2014 ◽
Vol 543-547
◽
pp. 2623-2626
2014 ◽
Vol 556-562
◽
pp. 4835-4838
◽
2018 ◽
Vol 6
(2)
◽
pp. 46
2021 ◽
Vol 693
(1)
◽
pp. 012096