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Fourier Slice Photography - Stanford University
- https://graphics.stanford.edu/papers/fourierphoto/
- This paper contributes to the theory of photograph formation from light fields. The main result is a theorem that, in the Fourier domain, a photograph formed by a full lens aperture is a 2D slice in the 4D light field. Photographs focused at different depths correspond to slices at different trajectories in the 4D space.
Direct Fourier Reconstruction of a Tomographic Slice
- https://www.mathworks.com/matlabcentral/fileexchange/60257-direct-fourier-reconstruction-of-a-tomographic-slice
- The implementation reconstructs a tomographic image (i.e., a slice) using the Fourier Slice Theorem (also referred to as Fourier Projection Theorem or Central Slice Theorem) rather than the most common Filtered Back Projection (FBP) method. The Fourier Slice Theorem (FST) holds for parallel X-ray beams and does not hold for divergent sources.
Fourier Slice Photography - Stanford University
- https://graphics.stanford.edu/papers/fourierphoto/fourierphoto-600dpi.pdf
- This paper presents a new mathematical theory about photo- graphic imaging from light fields by deriving its Fourier-domain representation. The theory is derived from the geometrical op- tics of image formation, and makes use of the well-known Fourier Slice Theorem [Bracewell 1956]. The end result is the
how to apply Fourier Transform on image using matlab
- https://stackoverflow.com/questions/15688762/how-to-apply-fourier-transform-on-image-using-matlab
- It is one of the steps is to enhancement images 1 - histogram equalization 2 - Fourier transform The output must be the image of fingerprint after enhancement using Fourier transform not spectrum of the image . – esra Apr 3, 2013 at 13:53 Add a comment
Fourier Analysis and Filtering - MATLAB & Simulink
- https://www.mathworks.com/help/matlab/fourier-analysis-and-filtering.html
- The Fourier transform is a powerful tool for analyzing data across many applications, including Fourier analysis for signal processing. Basic Spectral Analysis Use the Fourier transform for frequency and power spectrum analysis …
Fourier slice theorem matlab code - synchrotronmovies.com
- https://www.synchrotronmovies.com/fourier-slice-theorem-matlab-code.html
- Cartoon of the Fourier slice theorem Matlab code Back to imaging techniques animations. Download. matlab code % Movie of reconstructing a tomogram through the Fourier slice theorem % rather than filtered back projection (i.e., the iradon function in % matlab). The core of the program draws heavily from the code found at
Fourier Analysis - File Exchange - MATLAB Central
- https://www.mathworks.com/matlabcentral/fileexchange/106725-fourier-analysis
- Description This curriculum module teaches Fourier analysis using interactive live scripts and MATLAB® apps. The module is taught from a signal processing perspective at a level suitable for an introductory signals and systems course. In the first lesson, students use apps to visualize Fourier series and build intuition about the frequency domain.
How to implement Central slice theorem in matlab?
- https://www.mathworks.com/matlabcentral/answers/71392-how-to-implement-central-slice-theorem-in-matlab
- I am trying to find a accurate and fast implementation of the central slice theorem, I understand that the algorithm should have three steps as below but unfortunately I don't know how to implement it?! First step: is to apply a 1D Fourier transform to the projections, to transform the tilt series into the radially sampled Fourier domain.
How to slice an image - MATLAB & Simulink
- https://www.mathworks.com/matlabcentral/answers/425-how-to-slice-an-image
- Threshold the image if there is any grey-level noise. imlabel () 8-connected objects in the image. regionprops () the labeled image and go through the stats and discard any small objects (i.e., noise.) Then for each remaining region, the BoundingBox value will tell you the minimum and maximum X and Y coordinates of the region.
Matlab implementation to illustrate central slice theorem …
- https://www.12000.org/my_notes/EE518_CT_project/projection/index.htm
- When taking the slice from the 2D Fourier transform it has to be done on a slice through the center of the 2D spectrum, and along a line parallel to the projection line mentioned above. This is a simple Matlab implementation to illustrate the above.
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