A weighted total variation algorithm was proposed for solving some blind deconvolution problems,and then we got the existence of energy functional minimum and educed corresponding thermal flow.

Based on the Shalvi-Weinstein criterion,a super-exponential algorithm for Raman spectra blind deconvolution is proposed.

In order to restore the turbulence-degraded image efficiently,a single frame blind deconvolution image restoration algorithm with .

For the restoration of the degraded images caused by aero-optics effects of atmospheric turbulence, this paper presents an effective algorithm of multi-resolution blind deconvolution based on two frames of degraded images, in which the PSFs can be estimated by use of the two degraded images under the condition of the degraded models being unknown.

Improved blind deconvolution algorithm using Parzen window estimation;

Weak transient impulse signal extraction based on blind deconvolution and cluster in acoustical machine diagnosis

Method for image restoration with iterative blind deconvolution under the infrared smoke interference

A blind deconvolution method for chaotic signals based on prediction and recons truction analysis;

To observe object in high resolution,combining characteristic of noise,with physical constraint,a novel method of atmospheric turbulence-degraded images blind deconvolution restoration minimization model is proposed.

According to the imaging of object by atmospheric turbulence and total variation effect in denoising,minimum model of multiframe blind deconvolution of atmospheric turbulence-degraded images based on total variation is proposed.