Howtosignalprocessing
- What is the noise model for image restoration?
- What is image restoration techniques?
- Which filters are used in noise reduction and blurring?
- What are the different types of filtering techniques used for removing image noise explain it?
What is the noise model for image restoration?
Gaussian Noise:
Because of its mathematical simplicity, the Gaussian noise model is often used in practice and even in situations where they are marginally applicable at best.
What is image restoration techniques?
Image restoration is performed by reversing the process that blurred the image and such is performed by imaging a point source and use the point source image, which is called the Point Spread Function (PSF) to restore the image information lost to the blurring process.
Which filters are used in noise reduction and blurring?
Smoothing Spatial Filter: Smoothing filter is used for blurring and noise reduction in the image.
What are the different types of filtering techniques used for removing image noise explain it?
Many filters are applied to get the best possible result for the noises present in the image like Weiner filter, Median filter etc. Weiner filter and Median filter gives the best result compared to the other filters for the Speckle Noise, Gaussian Noise and Poisson noise as well which are present in an image [10].
