inverseDeconv

Inverse Deconvolution. More...

Functions
AFAPI array	inverseDeconv (const array &in, const array &psf, const float gamma, const inverseDeconvAlgo algo)
	C++ Interface for Tikhonov deconvolution algorithm. More...
AFAPI af_err	af_inverse_deconv (af_array *out, const af_array in, const af_array psf, const float gamma, const af_inverse_deconv_algo algo)
	C Interface for Tikhonov deconvolution algorithm. More...

Detailed Description

Inverse Deconvolution.

Inverse deconvolution is an linear algorithm i.e. they are non-iterative in nature and usually faster than iterative deconvolution algorithms.

Depending on the values passed on to the enum af_inverse_deconv_algo, different equations are used to compute the final result.

Tikhonov's Deconvolution Method:

The update equation for this algorithm is as follows:

\[ \hat{I}_{\omega} = \frac{ I_{\omega} * P^{*}_{\omega} } { |P_{\omega}|^2 + \gamma } \]

where

• \( I_{\omega} \) is the observed(input/blurred) image in frequency domain
• \( P_{\omega} \) is the point spread function in frequency domain
• \( \gamma \) is a user defined regularization constant

Inverse deconvolution function excepts af::array of the following types only:

• f32
• s16
• u16
• u8

Note

The type of output af::array from deconvolution will be double if the input array type is double. Otherwise, it will be float in rest of the cases. Should the caller want to save the image to disk or require the values of output to be in a fixed range, that should be done by the caller explicitly.

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Function Documentation

af_inverse_deconv()

AFAPI af_err af_inverse_deconv	(	af_array *	out,
		const af_array	in,
		const af_array	psf,
		const float	gamma,
		const af_inverse_deconv_algo	algo
	)

C Interface for Tikhonov deconvolution algorithm.

Parameters

[out]	out	is the sharp estimate generated from the blurred input
[in]	in	is the blurred input image
[in]	psf	is the kernel(point spread function) known to have caused the blur in the system
[in]	gamma	takes different meaning depending on the algorithm chosen. If algo is AF_INVERSE_DECONV_TIKHONOV, then gamma is a user defined regularization constant.
[in]	algo	takes value of type enum af_inverse_deconv_algo indicating the inverse deconvolution algorithm to be used

Returns

AF_SUCCESS if the deconvolution is successful, otherwise an appropriate error code is returned.

inverseDeconv()

AFAPI array inverseDeconv	(	const array &	in,
		const array &	psf,
		const float	gamma,
		const inverseDeconvAlgo	algo
	)

C++ Interface for Tikhonov deconvolution algorithm.

Parameters

[in]	in	is the blurred input image
[in]	psf	is the kernel(point spread function) known to have caused the blur in the system
[in]	gamma	is a user defined regularization constant
[in]	algo	takes different meaning depending on the algorithm chosen. If algo is AF_INVERSE_DECONV_TIKHONOV, then gamma is a user defined regularization constant.

Returns

sharp image estimate generated from the blurred input