We formulate the multiframe blind deconvolution problem in an incremental expectation maximization (EM) framework. Beyond deconvolution, we show how to use the same framework to a...
Stefan Harmeling, Suvrit Sra, Michael Hirsch, Bern...
We address the problem of restoration of images obtained through a scattering medium. We present an efficient quasimaximum likelihood blind deconvolution approach based on the fas...
Michael M. Bronstein, Alexander M. Bronstein, Yeho...
Ultimately being motivated by facilitating space-variant blind deconvolution, we present a class of linear transformations, that are expressive enough for space-variant filters, ...
Michael Hirsch, Suvrit Sra, Bernhard Schöpf, Stef...
Abstract. A novel approach is presented in this paper to improve images which are altered by atmospheric turbulence. Two new algorithms are presented based on two combinations of a...
This paper deals with a blind deconvolution (DB) problem for multiple-input multiple-output infinite impulse response (MIMO-IIR) systems. To solve this problem, we propose an eige...