How to apply bilateral filter over a 2d matrix image

[altenbach]

Can you instead attach a simple VI containing the two images as data (e.g. as diagram constant)?

(Looks more like contrast enhancement. Can't you just remap the color table? Another option might be wavelets (see also))

[gptshubham595]

you need to install python3.7 to use this vi and LabVIEW x64bit 2020

attached vi with image place them at the same location and run this.  

Now you can suggest a simple approach or any predefined or built-in filters that may available in wavelets or advanced signal processing toolkit.

[alexderjuengere]

this is an attempt to translate  gptshubham595 's python script to labview

EDIT: if I feed the coin.jpeg into this .vi, the output is slightly different than in the actual python script 

[alexderjuengere]

I forgot this part in my snippet above:

I read the image in labview, normalize to 255 and feed this 2d array to the python script and to the labview code.

the calculated output is similar but not identical:

attached as .zip is the correct .vi, the python script without opcencv img.read and the coin.jpg

[gptshubham595]

Thank You! I'm in love with this community now. 

I tried something similar for this you can check my first solution posted for this.

python was giving better result don't know why.

[alexderjuengere]

---

@altenbach wrote:

I think all you need to do is a 2D convolution with a 2D Gaussian. Code should fit a postage stamp. No Python.

---

I'd love to see a solution based on

https://zone.ni.com/reference/en-XX/help/371361R-01/lvanls/convolution/

the issue with this is, that the kernel is not a constant (as it is usually), but does change from position to position when moved accross the input image.

@gptshubham595 wrote:

python was giving better result don't know why.

---

I suppose, we could test this with the opencv implementation as ground truth.