In practical applications, the image restoration is usually performed without the necessary prior knowledge (i.e., the point spread function) of the image degradation. This is a reference program for solving motion blur.

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.\basic example
.\.............\ayers_dainty.m
.\.............\ayers_dainty_output.jpg
.\.............\letter_deblurring.m
.\.............\letter_deblurring_output.jpg
.\.............\letter_noise.m
.\.............\letter_noise_output.jpg
.\.............\note.jpg
.\different filters
.\.................\blind_deconv
.\.................\............\blind_deconv.m
.\.................\............\note.jpg
.\.................\............\note_blurred_s.jpg
.\.................\............\varying_iterations_output.jpg
.\.................\............\varying_psf_output.jpg
.\.................\wiener
.\.................\......\note.jpg
.\.................\......\wiener.m
.\.................\......\wiener_output.jpg
.\README.txt
.\real example
.\............\deconv_output.jpg
.\............\larisa_blurred_o.jpg
.\............\note.jpg
.\............\note_blurred_o.jpg
.\............\note_blurred_s.jpg
.\............\real_deblurring.m
.\............\wiener_output.jpg
.\wavelet
.\.......\1280denos.jpg
.\.......\blur1.jpg
.\.......\blur2.jpg
.\.......\denoise.m
.\.......\IMG_1280.JPG
.\.......\noisy.m
.\.......\README.txt
.\.......\wavelet.jpg

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