Intensity Weighted Noise Reduction in MEMS Based Deformable Mirror Images

dc.contributor.author	Roopashree, M. B
dc.contributor.author	Vyas, A
dc.contributor.author	Prasad, B. R
dc.date.accessioned	2011-12-13T14:17:55Z
dc.date.available	2011-12-13T14:17:55Z
dc.date.issued	2011-10
dc.identifier.citation	AIP Conference Proceedings, Vol. 1391, pp. 347-349	en
dc.identifier.uri	http://hdl.handle.net/2248/5638
dc.description	Restricted Access	en
dc.description.abstract	The frames captured with a compact, high-resolution, monochrome progressive scan CCD camera, of a continuous facesheet microelectromechanical systems (MEMS) deformable mirror (DM), include unwanted diffractive, background and readout noises; which significantly reduces the quality of imaging in many applications. Processing these images before passing them on to meet later experimental objectives can improve its performance greatly. In this paper, we propose a sequence of steps involving image intensity weighted noise removal and other smoothening techniques to minimize the noise and improve the phase production and correction capabilities of the DM	en
dc.language.iso	en	en
dc.publisher	American Institute of Physics	en
dc.relation.uri	http://link.aip.org/link/?APCPCS/1391/347/1	en
dc.rights	© American Institute of Physics	en
dc.subject	MEMS deformable mirror	en
dc.subject	Noise removal	en
dc.subject	Spatial light modulator	en
dc.title	Intensity Weighted Noise Reduction in MEMS Based Deformable Mirror Images	en
dc.type	Article	en