Title :
Image restoration with high resolution adaptive optical imaging system
Author :
Yang, Shuyu ; Erry, Gavin ; Nemeth, Sheila ; Mitra, Sunanda ; Soliz, Peter
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Lubbock, TX, USA
Abstract :
The challenge in producing a clear retinal image lies in the design of the imaging system that can reduce the strong aberrations of the human eye and the photographer´s expertise in adjusting the fundus camera when the image is taken. A technique that combines an advanced adaptive optical system and image post-processing algorithm has been shown to be able to significantly improve the image quality up to 2-5 times higher resolution than currently used clinical devices. The optical system has been designed to suppress low-order aberrations and enhance the precision of the wavefront measurement. Image post-processing mainly involves deconvolution by calculating the system transfer function (here the optical transfer function (OTF)) from the data obtained by the Shack-Hartman wavefront sensor.
Keywords :
adaptive optics; biomedical optical imaging; deconvolution; eye; image resolution; image restoration; medical image processing; optical transfer function; vision defects; wavefront sensors; Shack-Hartman wavefront sensor; adaptive optical system; deconvolution; high resolution adaptive optical imaging system; human eye aberrations reduction; image post-processing algorithm; image quality; image resolution; image restoration; optical transfer function; retinal image; Adaptive systems; High-resolution imaging; Humans; Image resolution; Image restoration; Optical devices; Optical imaging; Optical sensors; Retina; Transfer functions;
Conference_Titel :
Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on
Print_ISBN :
0-7695-2104-5
DOI :
10.1109/CBMS.2004.1311760
