Title :
Multi-channel restoration of electron micrographs
Author :
Vrhel, Michael ; Tru, Benes L.
Author_Institution :
Nat. Centre for Res. Resources, Nat. Inst. of Health, Bethesda, MD, USA
Abstract :
We introduce a projection based multi-channel restoration method which is useful in cases for which there is no a priori information about the input signal. The method is especially helpful in situations where a large number of specimens are later combined to achieve additional noise reduction. We describe the approach and discuss the problem of restoring electron micrographs. The method does require knowledge of the impulse response of the degradation. For this reason, the sensitivity of the approach to uncertainty in this degradation is investigated through simulation
Keywords :
deconvolution; electron microscopy; image restoration; interference suppression; degradation uncertainty; electron micrographs; input signal; multichannel deconvolution; noise reduction; projection based multichannel restoration method; sensitivity; simulation; Biomedical computing; Biomedical engineering; Degradation; Distortion; Electron microscopy; Focusing; Image restoration; Noise reduction; Signal restoration; Spatial resolution;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537529