A technique called Multiframe Blind Deconvolution (MBD) is effective in generating a high-resolution image commonly. The MBD is an ill-posed problem, which requires priori information to produce a useful solution. The basic constraints most widely used are the enforcement of non-negativity on the...
Deconvoluting Point-spread function from a... Learn more about deconvolution, signal processing Signal Processing Toolbox
If the point spread function is known, the restoration technique used is called a nonblind deconvolution method. In the 1970s, Richardson and Lucy derived this method from Bayes' theorem. This algorithm became popular in the fields of medical imaging and astronomy. This algorithm is so popular ...
deconvolution imaging techniques such as CLEAN and MEM [2]. The ability of the imaging algorithms to produce faithful representations of the true sky brightness distribution in the presence of noise is limited by both the near-in and far sidelobes of the PSF. The quality of the PSF in...
Asymmetric Point Spread Function Estimation and Deconvolution for Serial-Sectioning Block-Face ImagingSerial-sectioning block-facing (SSBF) imaging is an attractive method to overcome the depth limitations of optical imaging and slice alignment challenges of traditional serial sectioning histology...doi...
The point spread function, which was necessary for the deconvolution, was obtained in our experimental measurement. 通过实验测量得到了解卷积所必需的点扩展函数。 A new method is proposed for estimating the PSF (point spread function) values of turbulence from turbulence degraded images. 提出了一种...
To enhance the resolution of the transducer, deconvolution of the acquired signal and the transducer’s point spread function (PSF) is performed. Specifically, for a transducer pair operated in through transmission conditions, the resolution of the receiver is enhanced by a deconvolution of the ...
The iterative deconvolution algorithm recovers Fourier interpolated results for the equivalent 25 m filled aperture without requiring independent observations of a point-like reference source. 展开 关键词: Calibration Point spread functions Deconvolution Holography Speckle Atmospheric modeling Imaging systems ...
Gaussian approximations of fluorescence microscope point-spread function models. B Zhang, J Zerubia, J C Olivo-Marin. Appl. Optics (46) 1819-29, 2007. The SVI-wiki on 3D microscopy, deconvolution, visualization and analysis. https://svi.nl/NyquistRateExamples>...
point spread function; deconvolution; inverse problem; eddy-current; magnetic signature; spatial scanning1. Introduction The spatial aperture of eddy-current sensors, used in the measurement of road traffic, causes the blurring of the signal which represents the shape of the object. This causes a ...