The gaussian tag has no wiki summary.
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1answer
37 views
Is there a need of Point interpolation before proceeding for gaussian smoothing of an incomplete distribution?
Suppose there is a distribution that has values sampled on the interval 1-25 with corresponding sample values that have to be smoothed. For example:
...
0
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1answer
54 views
Estimating number for iterations for gaussian smoothing
I have some data sets on which I applied Gaussian smoothing using [1 4 6 4 1] kernel. In my program I iterated this kernel 50 times on the data sets. But only a few ...
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2answers
86 views
Gaussian random generator
I have quite a straight-forward question. What I aim for is the generation of a certain set of random numbers with a normal distribution (mu = 0, ...
5
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2answers
72 views
What is the difference between a simple gaussian filter and gaussian filter multiplied by its sum of it elements?
1 2 1 1 2 1
2 4 2 (A) (1/16) * 2 4 2 (B)
1 2 1 1 2 1
Both matrices are the same ...
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2answers
52 views
When should the sum of all elements of a gaussian kernel be zero?
I found an approximation of a 5x5 2D convolution kernel like this :
Here, the sum of the elements is zero and this one was used for Laplacian of Gaussian!
Another one here :
This one has all ...
1
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1answer
76 views
Determine the optimum receiver and the corresponding $P_{eM}$ for an AWGN channel
I have a source that emits $M$ equiprobable messages, which are assigned signals $s_1, \dots,s_M,$ that are equidistant by $a$. That is, if we plot the $s_k$ signals in a horizontal axis they are dots ...
2
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1answer
170 views
Fit data to Gaussian distribution
I want some data to fit the corresponding Gaussian distribution.
The data is meant to be Gaussian already, but for some filtering reasons, they will not perfectly match the prescribed and expected ...
2
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0answers
36 views
Compensate for standard deviation loss
I am not sure if this question will be a little off-topic on this forum, that I will give it a try anyway, since it implies signal process arguments.
By using ...
4
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1answer
124 views
Common use cases for 2D NONseparable convolution filters?
In the image processing world, I've noticed that a lot of the popular convolution filters are separable. Here's a quick list of common separable filters:
Sobel
Gaussian blur
Box filter (all ones, ...
1
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1answer
136 views
How to obtain mathematically high frequency and low frequency component separately using Bilateral filter?
I have asked this question before in the sense that what does a high frequency and low frequency component signify in a image and i got satisfactory answers now i want to know that how i can get high ...
6
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3answers
237 views
Low-pass filter parameters for image downsampling
I need to downscale an image in a factor of sx horizontally and sy vertically (sx, sy < 1).
I want to use a finite n x m low-pass filter before downsampling.
How should I determine the low-pass ...
5
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1answer
344 views
Choice of Gaussian kernel parameters when lowpass filtering before image resampling?
I need to decimate a signal by a factor of q.
More specifically my signal is a 3D "image": $\ I(x_i,y_j,z_k)$,
which I need to downsample by a factor of two in the z direction.
I want to do lowpass ...
5
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1answer
85 views
Is there a transformation filter to decode light signal through Glass Bricks?
A friend is doing renovations and getting his entire ground-floor street-side wall replaced with glass bricks. I told him that with all those bricks giving similar distorted views of the same room, ...
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2answers
554 views
What is the relationship between the sigma in the Laplacian of Gaussian and the two sigmas in the Difference of Gaussians?
I understand that a Laplacian-of-Gaussian filter can be approximated by a Difference-of-Gaussians filter, and that the ratio of the two sigmas for the latter should be 1:1.6 for the best ...
5
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2answers
854 views
Standard Deviation in Gaussian Blur
I have a function that performs gaussian blur on image for some specific $\sigma$ (the standard deviation).
It first computes kernel of size $\lceil 3\sigma \rceil$ and then performs convolution with ...
