The dissertation tackles an interesting inverse problem of estimating a latent sharp image from blurred observed images. The blurring process is modeled by convolution and the inverse problem is referred to as ``blind'' deconvolution since we assume limited or zero knowledge of the convolution kernel. The dissertation consists of seven scientific articles that survey author's contribution to the theory of image deconvolution.