imagemagick,qr-code,noise-reduction

You can try a median filter like this, but you would probably be better off extracting the image from the PDF the way Kurt suggested in your previous question in order to retain more quality: convert qr.png -median 3 result.png ...

opencv,image-processing,image-recognition,edge-detection,noise-reduction

(This is not a Python answer, since I never used the Python/OpenCV binding. The images below were created using Mathematica. But I just used basic image processing functions, so you should be able to implement that in Python on your own.) A very general "trick" in image processing is to...

c++,visual-studio-2010,opencv,image-processing,noise-reduction

you will have to use opencv 2.4.9, it is not available in 2.3.0

matlab,audio,wav,noise-reduction

This is a pretty imperfect solution, especially since some of the noise is embedded in the same frequency range as the voice you hear on the file, but here goes nothing. What I was talking about with regards to the frequency spectrum is that if you hear the sound, the...

matlab,signal-processing,noise-reduction

The question is, what kind of noise reduction are you looking for? There is no one solution that fits all needs. Here are a few approaches: Low-pass filtering the signal reduces noise but also removes the high-frequency components of the signal. For some applications this is perfectly acceptable. There are...

image,matlab,binary,noise-reduction

There is only a small part missing, you must also check if you reached the end of the line: if count>ThresholdValue %Check if end of line is reached if j==row || I(i,j+1)==0 I(i,j-count+1:j)=0; end end Updated code regarding the comment: I =imread(pp); I=im2bw(I); figure, imshow(I);title('original'); ThresholdValue=50; [row,col]=size(I); count=0; % count...

Try this: **** The previous part of your code goes here *** disp('Recording complete'); [y,fs] = audioread('myspeech.wav'); y = y(:,1); % Take only one channel from the recording n = 7; beginFreq = 500 / (fs/2); endFreq = 2000 / (fs/2); [b,a] = butter(n, [beginFreq, endFreq], 'bandpass'); % dt =...