Journal ArticleDOI
Coherent optical noise suppression device.
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TLDR
A new system is proposed that overcomes the problems of the previous noise suppression techniques and experimental results of the new system are presented along with a determination of the resolution of the system.Abstract:
In optical data processing the quality of the output image is usually degraded by diffraction noise generated by the optical components of the system. The suitability of previously suggested techniques to a dc spatial filtering processor is discussed. A new system is proposed that overcomes the problems of the previous noise suppression techniques. Experimental results of the new system are presented along with a determination of the resolution of the system. The errors and limits of the new coherent noise suppression system are discussed.read more
Citations
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Journal ArticleDOI
Noise-free contrast improvement with a low frequency polarizing filter: a practical evaluation.
TL;DR: A novel way to achieve a continuous range of low frequency attenuation is introduced, which gives the observer control over a continuous change in contrast enhancement and greatly increases the versatility ofLow frequency spatial filtering.
Elimination of coherent noise in a coherent light imaging system
TL;DR: In this paper, the authors proposed a method to eliminate bull's-eye diffraction patterns in the image by rotating the lens about the optical axis. But the technique does not destroy the spatial coherence of the light and permits spatial filtering of the input plane.
Optical noise reduction using partial coherence in spatial filtering for image detail enhancement
TL;DR: In this paper, a promising method of reducing the optical noise by means of partial coherence in a projection printer has been investigated involving the use of a plurality of point sources, which is applicable to projection enlarging systems.
References
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Journal ArticleDOI
Image Restoration by the Method of Least Squares
TL;DR: In this paper, the restoration of optical images, as well as the unfolding of spectroscopic and other data that have been convolved with a window function or an instrumental impulse response, can be viewed as the solution of an integral equation, which is treated as the problem of finding an estimate that is a linear functional of the data and minimizes the mean squared error between the true solution and itself.
Journal ArticleDOI
Optical Spatial Filtering with the Least Mean-Square-Error Filter*
TL;DR: In this paper, optical spatial filters are derived using the criterion of least-mean-square error (LSE) in the presence of random additive noise, and the results show that this type of filtering is superior to that of the infinite signal-to-noise ratio spatial filter.
Journal ArticleDOI
Optical Restoration of Images Blurred by Atmospheric Turbulence Using Optimum Filter Theory
TL;DR: Photographic film imagery, degraded by long-term artificial atmospheric turbulence, has been restored by spatial filters placed in the Fourier transform plane by using the simple inverse filter and the optimum least-mean-square filters.
Journal ArticleDOI
Coherent optical noise suppression.
TL;DR: This paper presents a technique for time averaging coherent optical noise without reducing the spatial frequency discrimination capability associated with a laser illumination system.
Elimination of coherent noise in a coherent light imaging system
TL;DR: In this paper, the authors proposed a method to eliminate bull's-eye diffraction patterns in the image by rotating the lens about the optical axis. But the technique does not destroy the spatial coherence of the light and permits spatial filtering of the input plane.
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