Filter noise and interpolate microscopy images in frequency domain
Updated 1 Mar 2013
Intensities recorded by the microscopes (any imaging system with finite aperture) are subject to diffraction limit - the recorded features cannot be finer than the optical cutoff of the system. Filtering the spatial frequencies beyond the optical cutoff provides simple yet effective means of reducing noise. Since microscopy data is band-limited, padding in frequency domain provides accurate interpolation.
Shalin Mehta (2023). Filter noise and interpolate microscopy images in frequency domain (https://www.mathworks.com/matlabcentral/fileexchange/40207-filter-noise-and-interpolate-microscopy-images-in-frequency-domain), MATLAB Central File Exchange. Retrieved .
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- Sciences > Biological and Health Sciences > Biomedical Imaging >
- Sciences > Biological and Health Sciences > Biomedical Imaging > Microscopy >
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Previous submission contained wrong file.
* Added an example of improving a point spread function affected by Poisson noise.