![]() ![]() ![]() It enforces the sparseness constraint in the image as done in compressed sensing, but is different from compressed sensing in that the sensing matrix is unknown and additional constraint is enforced on the sensitivities as well. The proposed algorithm reconstructs both the sensitivity functions and the image simultaneously from undersampled data. Anastassopoulos, G Lymberopoulos, D Wire Communications Laboratory, Electrical Engineering Department, University of Patras, Greece (Greece) Panayiotakis, G Bezerianos, A Medical Physics Department, School of Medicine, University of Patras, Greece (Greece) Novel diagnosis orienting tele working systems manipulate, store, and process medical data through real time communication - conferencing schemes. This noise suppression imaging technique will have great applications in remote- sensing and security areas. The relationship between the contrast-to-noise ratio of the reconstruction image and the intensity ratio (namely, the average signal intensity to average noise intensity ratio) for the three reconstruction algorithms are also discussed. Experimental results show that, with an appropriate choice of threshold value, modified compressive sensing ghost imaging algorithm can dramatically enhance the contrast-to-noise ratio of the object reconstruction significantly compared with traditional ghost imaging and compressive sensing ghost imaging methods. Based on the characteristics of the additive detector noise, a method named modified compressive sensing ghost imaging is proposed to reduce the background imposed by the randomly distributed detector noise at signal path. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |