Single channel blind image deconvolution from radially symmetric blur kernels

Single channel blind image deconvolution from radially symmetric blur kernels.

The multichannel exact blind image deconvolution theory tells us that exact recovery of unknown blur kernels is possible from multiple measurements of an identical scene through distinct blur channels. However, in many biological applications, there often exist technical difficulties in obtaining multiple distinct blur measurements, since the image content may vary for various reasons, includin...

Blind image deconvolution of linear motion blur

We present an efficient method to deblur images for information recognition. The method is successfully applied directly on mobile devices as a preprocessing phase to images of barcodes. Our main contribution is the fast identifaction of blur length and blur angle in the frequency domain by an adapted radon transform. As a result, the barcode recognition rate of the deblurred images has been in...

Blind Estimation of Motion Blur Parameters for Image Deconvolution

This paper describes an approach to estimate the parameters of a motion blur (direction and length) directly form the observed image. The motion blur estimate can then be used in a standard nonblind deconvolution algorithm, thus yielding a blind motion deblurring scheme. The estimation criterion is based on recent results about the general spectral behavior of natural images. Experimental resul...

Blind Single-Image Super Resolution Reconstruction with Defocus Blur

A blind single-image super resolution method is proposed to enhance the spatial resolution of the image with defocus blur. Firstly, according to the low resolution imaging model, a framework of blind singleimage super resolution reconstruction is presented. Secondly, utilizing Wiener filtering algorithm, the errorparameter curve of the defocus blurred image was generated, through which the defo...

Blind single channel deconvolution using nonstationary signal processing