Denoising algorithm which takes amount of noise variance present in image and remove noise with respect to that variance
Hi, How to denoise an image with specific noise variance(estimated already)? I want to pass the estimated noise variance to function to remove the noise in the image. Can anyone direct me to good filter algorithm which takes noise variance(computed from image) and removes noise ? Help would be appreciated greatly.
i don't think, it has something like that, but please take a look at the photo module
Hi berak, problem to sove is , I have noisy image -> noise power is estimated from the noisy image(let say variance of noise sigma^2). What I want to do is , find an algorithm which takes the estimated noise (sigma^2) and remove the noise in image w.r.to noise estimated. Initially I have used gaussian distribution function to apply known noise to sigma^2, later I understood the Sigma in gaussian distribution is responsible for determining the width of the filter matrix. So I didn't use gaussian distribution. Now, I am looking for good algorithm which takes known variance(sigma^2) of noise of image and remove the noise from image. Please give me good suggestion. Help would be appreciated greatly.