Performance analysis and evaluation of point spread function for full digital autofocus;

Investigation of characteristics of point spread functions in myopic patients

Methods:Wavelet transform was applied to estimate the point spread function of the imaging system,and then expectation-maximization algorithm was used to restore temporal CT images.

To improve the performance of image restoration algorithms,a modified Singular Value Decomposition(SVD) method was proposed to estimate the Point Spread Function(PSF) of an imaging system.

When the Point Spread Function(PSF) associated with motion blur is unknown,estimating parameters of the PSF is necessary for image restoration.

Investigation about 3D microscopical image restoration and PSF;

With analyzing the point spread function(PSF) and the depth of the field of the designed imaging system,it follows that the depth of field of imaging systems is relied on the refractive angle of the axicon.

A kind of method for identifying the point-spread function of a noisy blurred image is put forward based on higher-order statistics(HOS).

On the basis of the regularization technique for dealing with ill-posed mathematical problems, the unknown clear image as well as the unknown point-spread function are incorporated in a single cost functional by constructing approp-tiate regularization terms.

Using the deconvolution,the point-spread function and the opticaltransfer function of optical system of the human eye are obtained.

Blind image restoration is to recover the original image form the observed degraded image with unknown the Point Spread Function (PSF).

The article shows that how to set Point Spread Function (PSF) is the key in the image restoration and proposes an efficient identify approach for motion-blurred para.