Deblurred of Image with Wiener Filter in MATLAB
Darshana Mistry, Asim Banerjee · Journal of Emerging Technologies and Innovative Research · 2014
This paper represents how to de-blurred image with Wiener filter with an information of the Point Spread Function (PSF) corrupted blurred image with different values and then corrupted by additive noise. Image is restored using Wiener deconvolution (it works in the frequency domain, attempting to minimize the impact of deconvoluted noise at frequencies which have a poor signal-to-noise ratio). Noise-to-signal ratio is used to control of noise. For better restoration of the blurred and noisy images, there is use of full autocorrelations functions (ACF). ACF is recovered through fast Fourier transfer shifting.