15_degradation_hx

15_degradation_hx - Restoration Based on Degradation...

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Unformatted text preview: Restoration Based on Degradation Function H COMP344 COMP344 Restoration Based on Degradation Function H Restoration based on Degradation Function H Estimating the degradation function Inverse filtering Minimum mean square error (Wiener) filtering Geometric mean filter COMP344 Restoration Based on Degradation Function H Estimating the Degradation Function by Experimentation Useful if equipment similar to equipment used to acquire degraded image available Adjust settings until images similar to the degraded image are acquired Image a impulse (small dot of light) the Fourier transform of an impulse is a constant H ( u , v ) = G ( u , v ) A G ( u , v ): Fourier transform of the observed image A : constant COMP344 Restoration Based on Degradation Function H Estimating the Degradation Function Degradation modeling has been used for many years useful if physical conditions (camera conditions, environment conditions, etc.) can be modeled requires indepth understanding of the involved physical phenomenon COMP344 Restoration Based on Degradation Function H Example: Atmospheric turbulence H ( u , v ) = e- k ( u 2 + v 2 ) 5 / 6 k : a constant that depends on the nature of the turbulence COMP344 Restoration Based on Degradation Function H Another Example: Motion Blur COMP344 Restoration Based on Degradation Function H Motion Blur x ( t...
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15_degradation_hx - Restoration Based on Degradation...

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