Hello Dear all,
I am working on edge detection, I must firstly apply a smoothing filter to the image before applying other processing. The problem is the mask chosen gives good results in some images and bad results in others, if I change the mask I get the opposite. What is the image property that measures the noise? In this way, I can change the mask automatically depending on the image noise.
Thank you
Thank you dear Atif for your reply, but I want to measure the noise with a single image, for this reason, I can not use PSNR because I don't have the second image with which I can compare.
I think you can benefit from my paper at the following link
https://www.researchgate.net/publication/303702297_Hybrid_Modified_Alpha-Trimmed_Mean_Algorithm_for_Impulse_Noise_Detection_and_Removal_from_Highly_Contaminated_Images?ev=prf_high
Article Hybrid Modified Alpha-Trimmed Mean Algorithm for Impulse Noi...
Thank you very much for your reply. I tried the method similar to Matlab but it does not give information about noise, have computed the PSNR between the original image and its smoothed version.
If I were you, I would prefer filtering in frequency domain using a flexible low pass or band pass filter. In this case you can modify the band of the desired frequencies depending on the noise power determined for any given noisy image.
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