ALGORITHM FOR MINIMIZING LATENT SHARP IMAGE COST FUNCTION AND POINT SPREAD FUNCTION COST FUNCTION WITH A SPATIAL MASK IN A REGULARIZATION TERM
First Claim
1. A method for deblurring a blurry image, the method comprising the steps of:
- utilizing a first spatial mask in a fidelity term and a second spatial mask in a regularization term of a latent sharp image estimation cost function used for deconvolution of the blurry image; and
utilizing a variable splitting technique in the latent sharp image function, the variable splitting technique including introducing a first auxiliary variable and a first penalty term into the latent sharp image estimation cost function to split the operations of convolution and element-wise multiplication.
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Abstract
A method for deblurring a blurry image (18) includes utilizing a spatial mask and a variable splitting technique in the latent sharp image estimation cost function. Additionally or alternatively, the method can include the utilizing a spatial mask and a variable splitting technique in the PSF estimation cost function. The spatial mask can be in a regularization term of either or both the latent sharp image estimation cost function and the PSF cost function. The latent sharp image estimation cost function can be used for non-blind deconvolution. Alternatively, one or both cost functions can be used for blind deconvolution.
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Citations
17 Claims
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1. A method for deblurring a blurry image, the method comprising the steps of:
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utilizing a first spatial mask in a fidelity term and a second spatial mask in a regularization term of a latent sharp image estimation cost function used for deconvolution of the blurry image; and utilizing a variable splitting technique in the latent sharp image function, the variable splitting technique including introducing a first auxiliary variable and a first penalty term into the latent sharp image estimation cost function to split the operations of convolution and element-wise multiplication. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for deblurring a blurry image, the method comprising the steps of:
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utilizing a first spatial mask in a regularization term of a PSF cost function used to estimate a PSF blur kernel of the blurry image; and utilizing a variable splitting technique in the PSF cost function, the variable splitting technique including introducing a first auxiliary variable and a first penalty term into the PSF estimation cost function to split the operations of convolution and element-wise multiplication. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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Specification